Introduction

Background/rationale

If research can be conducted among the entire population of interest, the researchers would obtain more accurate findings. However, in most cases, conducting a study of the entire population is impractical, if not impossible, and would be inefficient. In some cases, it is more accurate to conduct a study of appropriately selected samples than to conduct a study of the entire population. Therefore, researchers use various methods to select samples representing the entire population, to analyze the data from the selected samples, and to estimate the parameters of the entire population, making it very important to determine the appropriate sample size to answer the research question [1,2]. However, the sample size is often arbitrarily chosen or reflects limits of resource allocation. However, this method of determination is often not scientific, logical, economical, or even ethical.

From a scientific viewpoint, research should provide an accurate estimate of the therapeutic effect, which may lead to evidence-based decisions or judgments. Studies with inappropriate sample sizes or powers do not provide accurate estimates and therefore report inappropriate information on the treatment effect, making evidence-based decisions or judgments difficult. If the sample size is too small, even if a large therapeutic effect is observed, the possibility that it could be caused by random variations cannot be excluded. In contrast, if the sample size is too large, too many variables—beyond those that researchers want to evaluate in the study—may become statistically significant. Some variables may show a statistically significant difference, even if the difference is not meaningful. Thus, it may be difficult to determine which variables are valid.

From an economic point of view, studies with too large a sample size may lead to a waste of time, money, effort, and resources, especially if availability is limited. Studies with too small a sample size provide low power or imprecise estimates; therefore, they cannot answer the research questions, which also leads to a waste of time, money, effort, and resources. For this reason, considering limited resources and budget, sample size calculation and power analysis may require a trade-off between cost-effectiveness and power [3,4].

From an ethical point of view, studies with too large a sample size cause the research subjects to waste their effort and time, and may also expose the research subjects to more risks and inconveniences.

Considering these scientific, economic, and ethical aspects, sample size calculation is critical for research to have adequate power to show clinically meaningful differences. Some investigators believe that underpowered research is unethical, except for small trials of interventions for rare diseases and early phase trials in the development of drugs or devices [5].

Although there have been debates on sample size calculation and power analysis [3,4,6], the need for an appropriate sample size calculation has become a major trend in research [1,2,7-11].

Objectives

This study aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using the G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; http://www.gpower.hhu.de/) with 5 statistical examples.

Basic concept: what to know before performing sample size calculation and power analysis

In general, the sample size calculation and power analysis are determined by the following factors: effect size, power (1-β), significance level (α), and type of statistical analysis [1,7]. The International Committee of Medical Journal Editors recommends that authors describe statistical methods with sufficient detail to enable a knowledgeable reader with access to the original data to verify the reported results [12], and the same principle should be followed for the description of sample size calculation or power analysis. Thus, the following factors should be described when calculating the sample size or power.

Null and alternative hypotheses

A hypothesis is a testable statement of what researchers predict will be the outcome of a trial. There are 2 basic types of hypotheses: the null hypothesis and the alternative hypothesis. H0: The null hypothesis is a statement that there is no difference between groups in terms of a mean or proportion. H1: The alternative hypothesis is contradictory to the null hypothesis.

Effect size

The effect size shows the difference or strength of relationships. It also represents a minimal clinically meaningful difference [12]. As the size, distribution, and units of the effect size vary between studies, standardization of the effect size is usually performed for sample size calculation and power analysis.

The choice of the effect size may vary depending on the study design, outcome measurement method, and statistical method used. Of the many different suggested effect sizes, the G*Power software automatically provides the conventional effect size values suggested by Cohen by moving the cursor onto the blank region of “effect size” in the “input parameters” field [12].

Power, alpha, type I error, and type II error

A type I error, or false positive, is the error of rejecting a null hypothesis when it is true, and a type II error, or false negative, is the error of accepting a null hypothesis when the alternative hypothesis is true.

Intuitively, type I errors occur when a statistically significant difference is observed, despite there being no difference in reality, and type II errors occur when a statistically significant difference is not observed, even when there is truly a difference (Table 1). In Table 1, the significance level (α) represents the maximum allowable limit of type I error, and the power represents the minimum allowable limit of accepting the alternative hypothesis when the alternative hypothesis is true.

If the results of a statistical analysis are non-significant, there are 2 possibilities for the non-significant results: (1) correctly accepting the null hypothesis when the null hypothesis is true and (2) erroneously accepting the null hypothesis when the alternative hypothesis is true. The latter occurs when the research method does not have enough power. If the power of the study is not known, it is not possible to interpret whether the negative results are due to possibility (1) or possibility (2). Thus, it is important to consider power when planning studies.

Process of sample size calculation and power analysis

In many cases, the process of sample size calculation and power analysis is too complex and difficult for common programs to be feasible. To calculate sample size or perform power analysis, some programs require a broad knowledge of statistics and/or software programming, and other commercial programs are too expensive to use in practice.

To avoid the need for extensive knowledge of statistics and software programming, herein, we demonstrate the process of sample size and power calculation using the G*Power software, which has a graphical user interface (GUI). The G*Power software is easy to use for calculating sample size and power for various statistical methods (F, t, χ², Z, and exact tests), and can be downloaded for free at www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3. G*Power also provides effect size calculators and graphics options. Sample size and power calculations using G*Power are generally performed in the following order.

First, establish the research goals and hypotheses

The research goals and hypotheses should be elucidated. The null and alternative hypotheses should be presented, as discussed above.

Second, choose appropriate statistical tests

G*Power software provides statistical methods in these 2 ways.

Distribution-based approach

Investigators can select the distribution-based approach (exact, F, t, χ², and z tests) using the “test family” drop-down menu.

Design-based approach

Investigators can select the design-based approach using the “statistical test” drop-down menu. This can also be carried out by selecting the variable (correlation and regression, means, proportions, variance, and generic) and the study design for which statistical tests are performed from the test menu located at the top of the screen and sub-menu.

Third, choose 1 of 5 possible power analysis methods

This choice can be made by considering the variables to be calculated and the given variables. Researchers can select 1 of the 5 following types in the “type of power analysis” drop-down menu (Table 2).

An a priori analysis is a sample size calculation performed before conducting the study and before the design and planning stage of the study; thus, it is used to calculate the sample size N, which is necessary to determine the effect size, desired α level, and power level (1-β). As an a priori analysis provides a method for controlling type I and II errors to prove the hypothesis, it is an ideal method of sample size and power calculation.

In contrast, a post-hoc analysis is typically conducted after the completion of the study. As the sample size N is given, the power level (1-β) is calculated using the given N, the effect size, and the desired α level. Post-hoc power analysis is a less ideal type of sample size and power calculation than a priori analysis as it only controls α, and not β. Post-hoc power analysis is criticized because the type II error calculated using the results of negative clinical trials is always high, which sometimes leads to incorrect conclusions regarding power [13,14]. Thus, post-hoc power analysis should be cautiously used for the critical evaluation of studies with large type II errors.

Fourth, input the required variables for analysis and select the “calculate” button

In the “input parameters” area of the main window of G*Power, the required variables for analysis can be entered. If information is available to calculate the effect size from a pilot study or a previous study, the effect size calculator window can be opened by checking the “determine→” button, and the effect size can be calculated using this information.

Five statistical examples of using G*Power

G*Power shows the following menu bars at the top of the main window when the program starts up: “file,” “edit,” “view,” “tests,” “calculator,” and “help” (Fig. 1A). Under these menu bars, there is another row of tabs, namely, “central and noncentral distributions” and “protocol of power analyses.” The “central and noncentral distribution” tab shows the distribution plot of null and alternative hypotheses and α and β values (Fig. 1B). Moreover, checking the “protocol of power analyses” tab shows the results of the calculation, including the name of the test, type of power analysis, and input and output parameters, which can be cleared, saved, and printed using the “clear,” “save,” and “print” buttons, respectively, which are located at the right side of the results (Fig. 1C).

In the middle of the main screen, drop-down menus named “test family,” “statistical test,” and “type of power analysis” are located, where the appropriate statistical test and type of power analysis can be selected.

In the lower part, in the “input parameters” field, information regarding the sample size calculation or power analysis can be entered, and in the “output parameters” field, the results for sample size calculation or power analysis will appear. On the left side of the “input parameters” field, there is a “determine→” button. Clicking the “determine→” button will lead to the effect size calculator window, where the effect size can be calculated by inputting information (Fig. 1D).

In the lowest part of the main screen, there are 2 buttons named “X-Y plot for a range of values” and “calculate.” Checking the “X-Y plot for a range of values” button leads to the plot window, where the graphs or tables for the α error probability, power (1-β error probability), effect size, or total sample size can be obtained (Fig. 1E). Checking the “calculate” button enables the calculation of the sample size or power.

Examples 1. Two-sample or independent t-test: t-test

The 2-sample t-test (also known as the independent t-test or Student t-test) is a statistical test that compares the mean values of 2 independent samples. The null hypothesis is that the difference in group means is 0, and the alternative hypothesis is that the difference in group means is different from 0.

• H₀: μ₁-μ₂=0

• H₁: μ₁-μ₂≠0

• H₀: null hypothesis

• H₁: alternative hypothesis

• μ₁, μ₂: means of each sample

Example: a priori

Let us assume that researchers are planning a study to investigate the analgesic efficacy of 2 drugs. Drug A has traditionally been used for postoperative pain control and drug B is a newly developed drug. In order to compare the efficacy of drug B with that of drug A, a pain score using a Visual Analog Scale (VAS) will be measured at 6 hours postoperation. The researchers want to determine the sample size for the null hypothesis to be rejected with a 2-tailed test, α=0.05, and β=0.2. The number of patients in each group is equal.

When the effect size is determined: If the effect size to be found is determined, the procedure for calculating the sample size is very easy. For the sample size calculation of a statistical test, G*Power provides the effect size conventions as “small,” “medium” and “large,” based on Cohen’s suggestions [12]. These provide conventional effect size values that are different for different tests.

Moving the cursor onto the blank of “effect size” in the “input parameters” field will show the conventional effect size values suggested by G*Power. For the sample size calculation of the t-test, G*Power software provides the conventional effect size values of 0.2, 0.5, and 0.8 for small, medium, and large effect sizes, respectively. In this case, we attempted to calculate the sample size using a medium effect size (0.5).

After opening G*Power, go to “test>means>two independent groups.” Then, the main window shown in Fig. 1A appears.

Here, as the sample size is calculated before the conduction of the study, set “type of power analysis” as “A priori: compute required sample size-given α, power, and effect size.” Since the researchers decided to use a medium effect size, 2-sided testing, α=0.05, β=0.2, and an equal sample size in both groups, select “two” for the “tail(s)” drop-down menu and input 0.5 for the blank of “effect size d,” 0.05 for the blank of “α err prob,” 0.8 for the blank of “power (1-β err prob),” and 1 for the blank of “Allocation ratio N2/N1.” Upon pushing the “calculate” button, the sample size for group 1, the sample size for group 2, and the total sample size will be computed as 64, 64, and 128, respectively, as shown in the output parameters of the main window (Fig. 1B).

Upon clicking on the “protocol of power analyses” tab in the upper part of the window, the input and output of the power calculation can be automatically obtained. The results can be cleared, saved, and printed using the “clear,” “save,” and “print” buttons, respectively (Fig. 1C).

When the effect size is not determined: Next, let us consider the case in which the effect size is not determined in the study design similar to that described above. In fact, the effect size is not determined on many occasions and it is debatable whether a determined effect size can be applied when designing a study. Thus, when the effect size value is arbitrarily determined, we should provide a logical rationale for the arbitrarily selected effect size. When the effect size is not determined, the effect size value can only be assumed using the variables from other previous studies, pilot studies, or experiences.

In this example, as there was no previous study comparing the efficacy of drug A to that of drug B, we will assume that the researchers conducted a pilot study with 10 patients in each group, and the means and standard deviations (SDs) of the VAS for drug A and B were 7±3 and 5±2, respectively.

In the main window, push the “determine” button; then, the effect size calculator window will appear (Fig. 1D). Here, there are 2 options: “n1!=n2” and “n1=n2.” Because we assume an equal sample size for 2 groups, we check the “n1=n2” box.

Since the pilot study showed that the mean and SD of the VAS for drug A and drug B were 7±3 and 5±2, respectively, input 7 for “mean group 1,” 3 for “SD σ group 1,” 5 for “mean group 2,” and 2 for “SD σ group 2,” and then click the “calculate and transfer to main window” button.

Then, the corresponding effect size “0.7844645” will be automatically calculated and appear in the blank space for “effect size d” in the main window (Fig. 1F).

As described above, we decided to use 2-sided testing, α=0.05, β=0.2, and an equal sample size in both groups. We selected “two” in the “tail(s)” drop-down menu and entered 0.05 for “α err prob,” 0.8 for “power (1-β err prob),” and 1 for “allocation ratio N2/N1.” Clicking the “calculate” button computes “sample size group 1,” “sample size group 2,” and “total sample size” as 27, 27, and 54, respectively, in the output parameters area (Fig. 1G).

Example: post hoc

A clinical trial comparing the efficacy of 2 analgesics, drugs A and B, was conducted. In this study, 30 patients were enrolled in each group, and the means and SDs of the VAS for drugs A and B were 7±3 and 5±2, respectively. The researchers wanted to determine the power using a 2-tailed test, α=0.05, and β=0.2.

After opening G*Power, go to “test>means>two independent groups.” In the main window, select “type of power analysis” as “post hoc: compute achieved power-given α, sample size and effect size,” and then push the “determine” button. In the effect size calculator window, since a clinical trial was conducted with equal group sizes, showing that the means and SDs of the VAS for drug A and B were 7±3 and 5±2, respectively, check the “n1=n2” box and input 7 for “mean group 1,” 3 for “SD σ group 1,” 5 for “mean group 2,” and 2 for “SD σ group 2,” and then click the “calculate and transfer to main window” button. Then, the corresponding effect size “0.7844645” will be calculated automatically and appear in the blank space for “effect size d” in the main window (Fig. 1H). Because we decided to use 2-sided testing, α=0.05, and an equal sample size (n=30) in both groups, we selected “two” in the tail(s) drop-down menu, and entered 0.05 for “α err prob,” 30 for “sample size group 1,” and 30 for “sample size group 2.” Pushing the “calculate” button will compute “power (1-β err prob)” as 0.8479274.

Examples 2. Dependent t-test: t-test

The dependent t-test (paired t-test) is a statistical test that compares the means of 2 dependent samples. The null hypothesis is that the difference between the means of dependent groups is 0, and the alternative hypothesis is that the difference between the means of dependent groups is not equal to 0.

• H₀: μ₁-μ₂=0

• H₁: μ₁-μ₂≠0

• H₀: null hypothesis

• H₁: alternative hypothesis

• μ₁, μ₂: means of each sample from dependent groups

Example: a priori

Imagine a study examining the effect of a diet program on weight loss. In this study, the researchers plan to enroll participants, weigh them, enroll them in a diet program, and weigh them again. The researchers want to determine the sample size for the null hypothesis to be rejected with a 2-tailed test, α=0.05, and β=0.2.

When the effect size is determined: After opening G*Power, go to “test>means>two dependent groups (matched pairs).”

In the main window, set “type of power analysis” as “a priori: compute required sample size-given α, power, and effect size” (Fig. 2A). Since the researchers decided to use 2-sided testing, α=0.05, and β=0.2, select “two” for the tail(s) drop-down menu, and input 0.05 for the blank of “α err prob” and 0.8 for the blank of “power (1-β err prob).” Unlike the case for the t-test, as the number of participants is expected to be equal in the paired t-test, the blank for “allocation ratio N2/N1” is not provided. In this case, calculate the sample size using a small effect size (0.2); thus, input 0.2 for “effect size dz.” Upon pushing the “calculate” button, the total sample size will be computed as 199 in the output parameter area (Fig. 2B).

When the effect size is not determined: Suppose the researchers conducted a pilot study to calculate the sample size for the study investigating the effect of the diet program on weight loss. In this pilot study, the mean and SD before and after the diet program were 66±12 kg and 62±11 kg, respectively, and the correlation between the weights before and after the diet program was 0.7.

Click the “determine” button in the main window and then check the “from group parameters” box from the 2 options “from differences” and “from group parameters” in the effect size calculator window, as the group parameters are known.

Since the pilot study showed that the means and SDs of the results before and after the diet program were 66±12 kg and 62±11 kg, respectively, and the correlation between the results before and after the diet program was 0.7, input 66 for “mean group 1,” 62 for “mean group 2,” 12 for “SD group 1,” 11 for “SD group 2,” and 0.7 for “correlation between groups,” and then click the “calculate and transfer to main window” button (Fig. 2C). Then, the corresponding effect size “0.4466556” will be calculated automatically and appear at the blank space for “effect size dz” in the main screen and in the effect size calculator screen. In the main window, as we decided to use 2-sided testing, α=0.05, and β=0.2, we will select “two” in the “tail(s)” drop-down menu, and input 0.05 for “α err prob” and 0.8 for “power (1-β err prob).” Pushing the “calculate” button will compute the “total sample size” as 42.

Example: post hoc

Assume that a clinical trial comparing participants’ weight before and after the diet program was conducted. In this study, 100 patients were enrolled, the means and SDs before and after the diet program were 66±12 kg and 62±11 kg, respectively, and the correlation between the weights before and after the diet program was 0.7. The researchers wanted to determine the power for 2-tailed testing and α=0.05.

After opening G*Power, go to “test>means>two dependent groups (matched pairs).” In the main screen, select “type of power analysis” as “post hoc: compute achieved power-given α, sample size and effect size,” and then push the “determine” button. In the effect size calculator screen, select the “from group parameters” check box from the 2 options “from differences” and “from group parameters” as the group parameters are known. In this effect size calculator window, as a clinical trial showed that the means and SDs of the results before and after the diet program were 66±12 kg and 62±11 kg, respectively, and the correlation between the results before and after the diet program was 0.7, input 66 for “mean group 1,” 62 for “mean group 2,” 12 for “SD group 1,” 1 for “SD group 2,” and 0.7 for “correlation between groups,” and then click the “calculate and transfer to main window” button. Then, the corresponding effect size “0.4466556” will be calculated automatically and appear in the blank space for “effect size dz” in the main window and in the effect size calculator window.

In the main window, as we decided to use 2-sided testing and α=0.05 and the enrolled number of patients was 100, select “two” in the “tail(s)” drop-down menu and input 0.05 for “α err prob” and 100 for “total sample size.” Pushing the “calculate” button will compute “power (1-β err prob)” as 0.9931086.

Examples 3. One-way analysis of variance: F-test

One-way analysis of variance (ANOVA) is a statistical test that compares the means of 3 or more samples. The null hypothesis is that all k means are identical, and the alternative hypothesis is that at least 2 of the k means differ.

• H₀: μ₁=μ₂= ⋯=μ_k

• H₁: the means are not all equal

• H₀: null hypothesis

• H₁: alternative hypothesis

• μ₁, μ₂, ⋯ μ_k: means of each sample from the independent groups (1, 2, ⋯, k)

The assumptions of the ANOVA test are as follows: (1) independence of observations, (2) normal distribution of dependent variables, and (3) homogeneity of variance.

Example: a priori

Assume that a study investigated the effects of 4 analgesics: A, B, C, and D. Pain will be measured at 6 hours postoperatively using a VAS. The researchers wanted to determine the sample size for the null hypothesis to be rejected at α=0.05 and β=0.2.

When the effect size is determined: For the ANOVA test, Cohen suggested the effect sizes of “small,” “medium,” and “large” as 0.1, 0.25, and 0.4, respectively [12], and G*Power provides conventional effect size values when the cursor is moved onto the “effect size” in the “input parameters” field. In this case, we calculated the sample size using a medium effect size (0.25).

After opening G*Power, go to “test>means>many groups: ANOVA: one-way (one independent variable).” In the main window, set “type of power analysis” as “a priori: compute required sample size-given α, power, and effect size.” Since we decided to use a medium effect size, α=0.05, and β=0.2, we enter 0.25 for “effect size f,” 0.05 for “α err prob,” and 0.8 for “power (1-β err prob).” Moreover, as we compared 4 analgesics, we input 4 for “number of groups.” Pushing the “calculate” button computes the total sample size as 180, as shown in the “total sample size” in the “output parameters” area.

When the effect size is not determined: Assume that a pilot study showed the following means and SDs (of VAS) at 6 hours postoperation for drugs A, B, C, and D: 2±2, 4±1, 5±1, and 5±2, respectively, in 5 patients for each group.

Push the “determine” button and the effect size calculator window will appear. Here, we can find 2 options: “effect size from means” and “effect size from variance.” Select “effect size from means” in the “select procedure” drop-down menu and select 4 in the “number of groups” drop-down menu.

Here, as G*Power does not provide the common SD, we must calculate this. The formula for the common SD is as follows:

spooled=(n1-1)S12+(n2-1)S22+(n3-1)S32+(n4-1)S42((n1-1)+(n2-1)+(n3-1)+(n4-1)-4)

S_pooled: common SD

S₁, S₂, S₃, S₄: SDs in each group

n₁, n₂, n₃, n₄: numbers of patients in each group

Using the above formula, we obtain the following:

Spooled=(5-1)22+(5-1)12+(5-1)12+(5-1)22((5-1)+(5-1)+(5-1)+(5-1)-4)

Herein, the common SD will be 1.58. Thus, input 1.58 into the blank of “SD σ within each group.” As the means and numbers of patients in each group are 2, 4, 5, and 5 and 5, 5, 5, and 5, respectively, input each value, and then click the “calculate and transfer to main window” button. Then, the corresponding effect size “0.7751550” will be automatically calculated and appear in the blank for “effect size f” in the main window.

Since we decided to use 4 groups, α=0.05, and β=0.2, input 4 for “number of groups,” 0.05 for “α err prob,” and 0.8 for “power (1-β err prob).” Pushing the “calculate” button computes the total sample size as 24, as shown in the “total sample size” in the “output parameters” area.

Example: post hoc

Assume that a clinical trial showed the following means and SDs of VAS at 6 hours postoperation in drugs A, B, C, and D : 2±2, 4±1, 5±1, and 5±2, respectively, in 20 patients for each group. The researchers want to determine the power with 2-tailed testing, α=0.05, and β=0.2.

After opening G*Power, go to “test>means>many groups: ANOVA: one-way (one independent variable).” In the main screen, select “type of power analysis” as “post hoc: compute achieved power-given α, sample size and effect size,” and then push the “determine” button to show the effect size calculator screen.

Using the above formula, the common SD is 1.58. Thus, input 1.58 into the blank of “SD σ within each group.” As the means and numbers of patients in each group are 2, 4, 5, and 5, and 20, 20, 20, and 20, respectively, input these values into the corresponding blank; next, click the “calculate and transfer to main window” button.

Then, the corresponding effect size “0.7751550” and the total number of patients will be calculated automatically and appear in the blanks for “effect size f” and “total sample size” on the main screen.

Since the clinical trial used 4 groups and we decided to use α=0.05, input 4 for “number of groups” and 0.05 for “α err prob.” Pushing the “calculate” button will compute the power as 0.9999856 at “power (1-β err prob)” in the “output parameters” area.

Examples 4. Correlation–Pearson r

A correlation is a statistic that measures the relationship between 2 continuous variables. The Pearson correlation coefficient is a statistic that shows the strength of the relationship between 2 continuous variables. The Greek letter ρ (rho) represents the Pearson correlation coefficient in a population, and r represents the Pearson correlation coefficient in a sample. The null hypothesis is that the Pearson correlation coefficient in the population is 0, and the alternative hypothesis is that the Pearson correlation coefficient in the population is not equal to 0.

• H₀: ρ=0

• H₁: ρ≠0

• H₀: null hypothesis

• H₁: alternative hypothesis

• ρ: Pearson correlation coefficient in the population

The Pearson correlation coefficient in the population (ρ, rho) ranges from −1 to 1, where −1 represents a perfect negative linear correlation, 0 represents no linear correlation, and 1 represents a perfect positive linear correlation. The coefficient of determination (ρ²) is calculated by squaring the Pearson correlation coefficient in the population (ρ) and is interpreted as “the percent of variation in one continuous variable explained by the other continuous variable” [15].

For correlations, Cohen suggested the effect sizes of “small,” “medium,” and “large” as 0.1, 0.3, and 0.5, respectively [12]. However, G*Power does not provide a sample size calculation using the effect size for correlations. Therefore, this article does not present a sample size calculation using the effect size. Instead, an example is provided of sample size calculation using the expected population Pearson correlation coefficient or coefficient of determination.

Example: a priori

Consider a hypothetical study investigating the correlation between height and weight in pediatric patients. The researchers wanted to determine the sample size for the null hypothesis to be rejected with 2-tailed testing, α=0.05, and β=0.2. In the pilot study, the Pearson correlation coefficient for the sample was 0.5.

After opening G*Power, go to “test>correlation and regression>correlation: bivariate normal model.” In the main screen, set “type of power analysis” as “a priori: compute required sample size-given α, power, and effect size.” Because we decided to use 2-sided testing, α=0.05, and β=0.2, the Pearson correlation coefficient in the null hypothesis is 0, and the Pearson correlation coefficient in the sample was 0.7, in the pilot study, select “two” for the “tail(s)” drop-down menu, and input 0.5 for “correlation ρ H1,” 0.05 for “α err prob,” 0.8 for “power (1-β err prob),” and 0 for “correlation ρ H1.” Upon pushing the “calculate” button, the total sample size will be computed as 29 in the “output parameters” area.

G*Power also provides an option to calculate the sample size using the coefficient of determination. If the coefficient of determination is known, push the “determine” button in the main window, input the value into the blank of “coefficient of determination ρ2,” and then click the “calculate and transfer to main window” button. Finally, push the “calculate” button to compute the total sample size.

Example: post hoc

Assume that a clinical trial investigated the correlation between height and weight in pediatric patients. In this study, 50 pediatric patients were enrolled, and the sample Pearson correlation coefficient was 0.5. The researchers wanted to determine the power at the 2-tailed and α=0.05 levels.

After opening G*Power, go to “test>correlation and regression>correlation: bivariate normal model.” In the main screen, select “type of power analysis” as “post hoc: compute achieved power-given α, sample size, and effect size.” Then, as the clinical trial showed that the sample Pearson correlation coefficient was 0.5 and the number of enrolled patients was 50, input 0.5 for “correlation ρ H1,” 0 for “correlation ρ H1,” and 50 for “total sample size.” As the researchers want to determine the power at the 2-tailed and α=0.05 levels, select “two” for the tail(s) drop-down menu and input 0.05 for “α err prob.”

Then, the corresponding power “0.9671566” will be calculated automatically and appear at the blank for “power (1-β err prob)” in the output parameter area of the main screen.

Example 5. Two independent proportions: chi-square test

The chi-square test, also known as the χ² test, is used to compare 2 proportions of independent samples. G*Power provides the options to compare 2 proportions of independent samples, namely “two independent groups: inequality, McNemar test,” “two independent groups: inequality, Fisher’s exact test,” “two independent groups: inequality, unconditional exact,” “two independent groups: inequality with offset, unconditional exact,” and “two independent groups: inequality, z-test.” In this article, we introduce the “two independent groups: inequality, z-test” because many statistical software programs provide similar options.

The null hypothesis is that the difference in proportions of independent groups is 0, and the alternative hypothesis is that the difference in proportions of independent groups is not equal to 0.

• H₀: π₁-π₂=0

• H₁: π₁-π₂≠0

As G*Power does not provide sample size calculation using the effect size for this option, this is not provided in this article; instead, an example of sample size calculation using the expected proportions of each group is provided.

Example: a priori

Assume that a study examined the effects of 2 treatments, for which the measure of the effect is a proportion. Treatment A has been traditionally used for the prevention of post-herpetic neuralgia, and treatment B is a newly developed treatment. The researchers wanted to determine the sample size for the null hypothesis to be rejected using 2-tailed testing, α=0.05, and β=0.2. The number of patients was equal in both groups. Suppose the researchers conducted a pilot study examining the effects of treatments A and B. In the pilot study, the proportions of post-herpetic neuralgia development were 0.3 and 0.1, respectively, for treatments A and B.

After opening G*Power, go to “test>proportions>two independent groups: inequality, z-test.” In the main window, set “type of power analysis” as “a priori: compute required sample size-given α, power, and effect size.”

Because we decided to use 2-sided testing, α=0.05, and β=0.2, there was an equal sample size in both groups, and the proportions of post-herpetic neuralgia development were 0.3 and 0.1 for treatments A and B, respectively, in the pilot study, select “two” for the “tail(s)” drop-down menu, and input 0.05 for “α err prob,” 0.8 for “power (1-β err prob),” 1 for “allocation ratio N2/N1,” and 0.3 and 0.1 for “proportion p2” and “proportion p1,” respectively.

Pushing the “calculate” button will compute “sample size group 1,” “sample size group 2,” and “total sample size” as 62, 62, and 124, respectively.

Example: post hoc

Assume that a clinical trial compared the effect of 2 treatments, A and B, on the incidence of post-herpetic neuralgia. In this study, researchers enrolled 101 and 98 patients, respectively, and post-herpetic neuralgia occurred in 31 and 9 patients after treatments A and B, respectively. The incidence of post-herpetic neuralgia in the groups that received treatments A and B was 0.307 (31/101) and 0.092 (9/98), respectively.

The researchers wanted to determine the power using 2-tailed testing and α=0.05. After opening G*Power, go to “test>proportions>two independent groups: inequality, z-test.” In the main screen, select “type of power analysis” as “post hoc: compute achieved power-given α, sample size and effect size.” Then, as a clinical trial showed that the incidence of post-herpetic neuralgia in the groups that received treatments A and B was 0.307 and 0.092, respectively, and the number of enrolled patients was 101 and 98, respectively, input 0.307 for “proportion p2,” 0.092 for “proportion p1,” 101 for “sample size group 2,” and 98 for “sample size group 1.”

As researchers wanted to determine the power for 2-tailed testing and α=0.05, select “two” for the tail(s) drop-down menu and input 0.05 for “α err prob.” Pushing the “calculate” button will compute “power (1-β err prob)” as 0.9715798 in the “output parameter” area of the main window.

Sample size calculation considering the drop-out rate

When conducting a study, drop-out of study subjects or non-compliance to the study protocol is inevitable. Therefore, we should consider the drop-out rate when calculating the sample size. When calculating the sample size considering the drop-out rate, the formula for the sample size calculation is as below:

• ND=N(1-d)

• N: sample size before considering drop-out

• d: expected drop-out rate

• ND: sample size considering drop-out

Let us assume that a sample size for a study was calculated as 100. If the drop-out rate during the study process is expected to be 20% (0.2), the sample size considering drop-out will be 125.

100(1-0.2)=125

Conclusion

Appropriate sample size calculation and power analysis have become major issues in research and analysis. The G*Power software supports sample size and power calculation for various statistical methods (F, t, χ², z, and exact tests). G*Power is easy to use because it has a GUI and is free. This article provides guidance on the application of G*Power to calculate sample size and power in the design, planning, and analysis stages of a study.

Article information

Authors’ contributions

Conceptualization, data curation, formal analysis, writing–original draft, writing–review & editing: HK.

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Funding

None.

Data availability

None.

Acknowledgments

Supplementary materials

Fig. 1.

Using the G*Power software for the 2-independent sample t-test. (A) Main window before a priori sample size calculation using an effect size, (B) main window after a priori sample size calculation using an effect size, (C) main window showing the protocol for power analyses, (D) effect size calculator window, (E) plot window, (F) main window before a priori sample size calculation not using an effect size, (G) main window after a priori sample size calculation not using an effect size, and (H) main window before post-hoc power analysis.

Fig. 2.

Using the G*Power software for the dependent t-test. (A) Main window before a priori sample size calculation using an effect size, (B) main window after a priori sample size calculation using an effect size, and (C) effect size calculator window.

References

• 1. In J, Kang H, Kim JH, Kim TK, Ahn EJ, Lee DK, Lee S, Park JH. Tips for troublesome sample-size calculation. Korean J Anesthesiol 2020;73:114-120. https://doi.org/10.4097/kja.19497 ArticlePubMedPMC
• 2. Kang H. Sample size determination for repeated measures design using G Power software. Anesth Pain Med 2015;10:6-15. https://doi.org/10.17085/apm.2015.10.1.6 Article
• 3. Moher D, Dulberg CS, Wells GA. Statistical power, sample size, and their reporting in randomized controlled trials. JAMA 1994;272:122-124. https://doi.org/10.1001/jama.1994.03520020048013 ArticlePubMed
• 4. Freiman JA, Chalmers TC, Smith H Jr, Kuebler RR. The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial: survey of 71 “negative” trials. N Engl J Med 1978;299:690-694. https://doi.org/10.1056/NEJM197809282991304 ArticlePubMed
• 5. Halpern SD, Karlawish JH, Berlin JA. The continuing unethical conduct of underpowered clinical trials. JAMA 2002;288:358-362. https://doi.org/10.1001/jama.288.3.358 ArticlePubMed
• 6. Edwards SJ, Lilford RJ, Braunholtz D, Jackson J. Why “underpowered” trials are not necessarily unethical. Lancet 1997;350:804-807. https://doi.org/10.1016/s0140-6736(97)02290-3 ArticlePubMed
• 7. Ko MJ, Lim CY. General considerations for sample size estimation in animal study. Korean J Anesthesiol 2021;74:23-29. https://doi.org/10.4097/kja.20662 ArticlePubMedPMC
• 8. Kang H. Statistical messages from ARRIVE 2.0 guidelines. Korean J Pain 2021;34:1-3. https://doi.org/10.3344/kjp.2021.34.1.1 ArticlePubMedPMC
• 9. Percie du Sert N, Hurst V, Ahluwalia A, Alam S, Avey MT, Baker M, Browne WJ, Clark A, Cuthill IC, Dirnagl U, Emerson M, Garner P, Holgate ST, Howells DW, Karp NA, Lazic SE, Lidster K, MacCallum CJ, Macleod M, Pearl EJ, Petersen OH, Rawle F, Reynolds P, Rooney K, Sena ES, Silberberg SD, Steckler T, Wurbel H. The ARRIVE guidelines 2.0: updated guidelines for reporting animal research. PLoS Biol 2020;18:e3000410. https://doi.org/10.1371/journal.pbio.3000410 ArticlePubMedPMC
• 10. Altman DG, Schulz KF, Moher D, Egger M, Davidoff F, Elbourne D, Gotzsche PC. The revised CONSORT statement for reporting randomized trials: explanation and elaboration. Ann Intern Med 2001;134:663-694. https://doi.org/10.7326/0003-4819-134-8-200104170-00012 ArticlePubMed
• 11. Von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med 2007;4:e296. https://doi.org/10.1371/journal.pmed.0040296 ArticlePubMedPMC
• 12. International Committee of Medical Journal Editors. Uniform requirements for manuscripts submitted to biomedical journals. JAMA 1997;277:927-934. https://doi.org/10.1001/jama.277.11.927 ArticlePubMed
• 13. Levine M, Ensom MH. Post hoc power analysis: an idea whose time has passed? Pharmacotherapy 2001;21:405-409. https://doi.org/10.1592/phco.21.5.405.34503 ArticlePubMed
• 14. Hoenig JM, Heisey DM. The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat 2001;55:19-24. https://doi.org/10.1198/000313001300339897 Article
• 15. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009;41:1149-1160. https://doi.org/10.3758/BRM.41.4.1149 ArticlePubMed

Figure & Data

References

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  Ibrahim Cifci, Raouf Ahmad Rather, Oguz Taspinar, Gizem Kandemir Altunel
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• Leg Dominance—Surface Stability Interaction: Effects on Postural Control Assessed by Smartphone-Based Accelerometry
  Arunee Promsri, Kotchakorn Bangkomdet, Issariya Jindatham, Thananya Jenchang
  Sports.2023; 11(4): 75.     CrossRef
• Acetylated tau exacerbates learning and memory impairment by disturbing with mitochondrial homeostasis
  Qian Liu, Xin Wang, Yu Hu, Jun-Ning Zhao, Chun-Hui Huang, Ting Li, Bing-Ge Zhang, Ye He, Yan-Qing Wu, Zai-Jun Zhang, Guo-Ping Wang, Gong-Ping Liu
  Redox Biology.2023; 62: 102697.     CrossRef
• Course quality and perceived employability of Malaysian youth: The mediating role of course effectiveness and satisfaction
  Daisy Mui Hung Kee, Aizza Anwar, Lim Yi Shern, Sai Ling Gwee
  Education and Information Technologies.2023; 28(10): 13805.     CrossRef
• Homotypic Entosis as a Potential Novel Diagnostic Marker in Breast Cancer
  Ireneusz Dziuba, Agata M. Gawel, Paweł Tyrna, Jędrzej Machtyl, Monika Olszanecka, Andrzej Pawlik, Cezary Wójcik, Lukasz P. Bialy, Izabela Mlynarczuk-Bialy
  International Journal of Molecular Sciences.2023; 24(7): 6819.     CrossRef
• Cardiolipin and OPA1 Team up for Methamphetamine-Induced Locomotor Activity by Promoting Neuronal Mitochondrial Fusion in the Nucleus Accumbens of Mice
  Liang Wang, Qingfan Wei, Rui Xu, Yaxing Chen, Shu Li, Qian Bu, Ying Zhao, Hongchun Li, Yue Zhao, Linhong Jiang, Yuanyuan Chen, Yanping Dai, Yinglan Zhao, Xiaobo Cen
  ACS Chemical Neuroscience.2023; 14(9): 1585.     CrossRef
• Quantitative transmastoid ultrasound for detecting middle ear effusion in pediatric patients
  Chin-Kuo Chen, Yan-Heng Lai, Li-Chun Hsieh, Po-Hsiang Tsui
  Computer Methods and Programs in Biomedicine.2023; 236: 107557.     CrossRef
• A gendered discourse on truthful disclosure of financial fraud practices among accountants in China: implications to corporate governance
  Kim-Lim Tan, Yuming Liu, Qiuting Ye
  Accounting Research Journal.2023; 36(2/3): 230.     CrossRef
• An Intense Bout of Acute Aerobic Exercise, but Not a Carbohydrate Supplement, Improves Cognitive Task Performance in a Sample of Black, Indigenous, and People of Color (BIPOC) Student Athletes
  Megan Sax van der Weyden, Joel Martin, Jose Rodriguez, Ali Boolani
  Sports.2023; 11(4): 88.     CrossRef
• Assessment of gastric-acid suppressants prescribing at an internal medicine service of a tertiary hospital in Latin America: A retrospective record review study
  Jean Félix Piñerúa-Gonsálvez, Rosanna del Carmen Zambrano-Infantino, Julio César Albornoz-Sandoval, Pedro Waykin Tong-Morao
  Revista de Gastroenterología del Perú.2023; 42(4): 242.     CrossRef
• Effects of Kinesio Taping on Tuck Jump Performance in Competitive Male Athletes
  Bahram Sheikhi, Amir Letafatkar, Paulo Henrique Marchetti, Fereshteh Eftekhari, Brian J Wallace, Filippo Maselli, Giacomo Rossettini, Urs Granacher, Hassane Zouhal
  International Journal of Sports Medicine.2023; 44(07): 516.     CrossRef
• Factors Affecting the Competence Level of Agricultural Extension Agents: A Comprehensive Analysis of Core Competencies in Northwestern Ethiopia
  Yosef Getahun Aregaw, Emam Adem Endris, Elias Bojago, Shuaian Wang
  Education Research International.2023; 2023: 1.     CrossRef
• Comparative assessment of facemask therapy with and without skeletal anchorage in growing Class III patients with unilateral cleft lip and palate (UCLP): A single‐center, prospective randomized clinical trial
  Shuvadeep Dutta, Puneet Batra, Sreevatsan Raghavan, Karan Sharma, Aditya Talwar, Anika Arora, Amit Srivastava
  Special Care in Dentistry.2023;[Epub]     CrossRef
• A survey based comparative study about dental clinical photography amongst intern and postgraduate students
  Osama Ahmed, Anam Pettiwala
  IP International Journal of Periodontology and Implantology.2023; 8(1): 22.     CrossRef
• Loss of hyaluronan synthases impacts bone morphology, quality, and mechanical properties
  Meghana Pendyala, Samuel J. Stephen, Deepak Vashishth, Elizabeth A. Blaber, Deva D. Chan
  Bone.2023; 172: 116779.     CrossRef
• Effectiveness of a Digitally Delivered Continuous Care Intervention (Defeat Diabetes) on Type 2 Diabetes Outcomes: A 12-Month Single-Arm, Pre–Post Intervention Study
  Despina Kolivas, Liz Fraser, Ronald Schweitzer, Peter Brukner, George Moschonis
  Nutrients.2023; 15(9): 2153.     CrossRef
• The relationship between loneliness and mobile phone addiction among Chinese college students: The mediating role of anthropomorphism and moderating role of family support
  Yanhong Zhang, Yongxue Li, Meng Xia, Miao Han, Lei Yan, Shuailei Lian, Yaser Mohammed Al-Worafi
  PLOS ONE.2023; 18(4): e0285189.     CrossRef
• Exploratory Students’ Behavior towards Massive Open Online Courses: A Structural Equation Modeling Approach
  Ahmad Almufarreh, Muhammad Arshad
  Systems.2023; 11(5): 223.     CrossRef
• Improving Functional Abilities in Children and Adolescents with Autism Spectrum Disorder Using Non-Invasive REAC Neuro Psycho Physical Optimization Treatments: A PEDI-CAT Study
  Arianna Rinaldi, Márcia C. Marins Martins, Ana C. De Almeida Martins Oliveira, Salvatore Rinaldi, Vania Fontani
  Journal of Personalized Medicine.2023; 13(5): 792.     CrossRef
• The relationship between perfectionism, self-perception of orofacial appearance, and mental health in college students
  Xinlin Gao, Jiawei Zhong, Hanchao Li, Yapeng Pei, Xixin Li, Siyu Zhang, Yuan Yue, Xin Xiong
  Frontiers in Public Health.2023;[Epub]     CrossRef
• Identifying Strategies to Mitigate Cybersickness in Virtual Reality Induced by Flying with an Interactive Travel Interface
  Daniel Page, Robert W. Lindeman, Stephan Lukosch
  Multimodal Technologies and Interaction.2023; 7(5): 47.     CrossRef
• The efficacy of detecting arrhythmia is higher with 7‐day continuous electrocardiographic patch monitoring than with 24‐h Holter monitoring
  Ju Young Kim, Il‐Young Oh, Hyejin Lee, Ji Hyun Lee, Youngjin Cho, Yeongjoon Gil, Sunghoon Jung, Dae In Kim, Myung Geun Shin, Joo Yeon Yoo, Jeong Yeon Kwak
  Journal of Arrhythmia.2023; 39(3): 422.     CrossRef
• The role of marketing stimuli and attitude in determining post-COVID buying decisions toward organic food products: evidence from retail consumers in Beijing, China
  Yuling Jiang, Siti Intan Nurdiana Wong Abdullah, Bernard Heng Jit Lim, Ruiyun Wang, Kit Teng Phuah
  Frontiers in Sustainable Food Systems.2023;[Epub]     CrossRef
• Functional relationship between the foot intrinsic and extrinsic muscles in walking
  Hiroshi Akuzawa, Tsuyoshi Morito, Tomoki Oshikawa, Tsukasa Kumai, Koji Kaneoka
  Journal of Electromyography and Kinesiology.2023; 71: 102781.     CrossRef
• Targeted Intervention for Elementary Students With Internalizing Behaviors: A Pilot Evaluation
  Brittany N. Zakszeski, Elizabeth Banks, Timothy Parks
  School Psychology Review.2023; : 1.     CrossRef
• Funcionamiento familiar como posible factor que modula los niveles de empatía en estudiantes de odontología
  Nuvia Estrada-Méndez, Jennifer Elizabeth Aldana Salguero, Brenda Nathaly Alfaro Ortiz, Aracelis Calzadilla-Núñez, Alejandro Reyes-Reyes, Víctor Patricio Díaz-Narváez
  Revista de Investigación e Innovación en Ciencias de la Salud.2023; 5(1): 160.     CrossRef
• Nutrient Inadequacy in Korean Young Adults with Depression: A Case Control Study
  Su-In Yoon, Hye-Ri Moon, So Rok Lee, Jingnan Zhang, Soojin Lee, Jin Ah Cho
  Nutrients.2023; 15(9): 2195.     CrossRef
• Effects of Pilates Exercises to Depression and Sleep Quality on the Postpartum Period: A Randomized Controlled Study
  Halil İbrahim BULGUROĞLU, Merve BULGUROĞLU, Cansu GEVREK
  Batı Karadeniz Tıp Dergisi.2023; 7(1): 66.     CrossRef
• Women with fibromyalgia (ACR criteria) compared with women diagnosed by doctors and women with osteoarthritis: Cross‐sectional study using functional and clinical variables
  Davi Oliveira da Silva Almeida, André Pontes‐Silva, Almir Vieira Dibai‐Filho, Sulamizia Filomena Costa‐de‐Jesus, Mariana Arias Avila, Cid André Fidelis‐de‐Paula‐Gomes
  International Journal of Rheumatic Diseases.2023;[Epub]     CrossRef
• Exploring the Potential of Mixed Reality in Enhancing Student Learning Experience and Academic Performance: An Empirical Study
  Ahmad Almufarreh
  Systems.2023; 11(6): 292.     CrossRef
• Psychometric properties of Upper-body Dressing Scale in people with stroke
  Shamay S. M. Ng, Peiming Chen, Him-Shun Chang, Wing-Kiu Chun, Tsz-Ho Kong, Yunon Lam, Wing-Yan Lau, Tai-Wa Liu, Lily Y. W. Ho, Cynthia Y. Y. Lai, Mimi M. Y. Tse
  Journal of Rehabilitation Medicine.2023; 55: jrm00391.     CrossRef
• Filipino Nursing Students’ Health Promoting Behaviors during Pandemic
  Ma. Prestige Leudouel J. Diana, Francesca G Cercado, Pearl Zerrha Chiu, Pamela Andrea De Justo, April Rhose De Silva, Ryan Michael F. Oducado
  Nurse Media Journal of Nursing.2023; 13(1): 1.     CrossRef
• Assessing the agreement between the partners at care transitions measure and the care transitions measure for elderly patients with chronic diseases
  La-mei Liu, Meng-jie Sun, Meng-ting Liu, Jia-nan Wang, Yi-zhen Zhang, Ronnell D Dela Rosa
  BMC Health Services Research.2023;[Epub]     CrossRef
• Tooth morphology fusion technique is more accurate than conventional technique in transferring morphology of provisional to definitive screw-retained, implant-supported crown: A preliminary intervention study
  Takuya Mino, Yoko Kurosaki, Kana Tokumoto, Koji Izumi, Hiroshi Mitsumune, Kenji Maekawa, Akihiro Ueda, Tomohito Nakano, Junichi Sejima, Aya Kimura-Ono, Takuo Kuboki
  Journal of Prosthodontic Research.2023;[Epub]     CrossRef
• Physical Activity and Quality of Life in Persons Newly Diagnosed With Multiple Sclerosis: A Cross-sectional Study
  Trinh L.T. Huynh, Stephanie L. Silveira, Robert W. Motl
  Archives of Physical Medicine and Rehabilitation.2023;[Epub]     CrossRef
• The effect of exercise on cerebral blood flow and executive function among young adults: a double-blinded randomized controlled trial
  Jianxiu Liu, Leizi Min, Ruidong Liu, Xiaoyu Zhang, Meiting Wu, Qian Di, Xindong Ma
  Scientific Reports.2023;[Epub]     CrossRef
• A Correlational Study on Reflective Capacity and Ethical Engagement in Adult Learners of Health Professions
  Justina Or, Elizabeth Golba
  Adult Learning.2023; : 104515952311782.     CrossRef
• The interplay of strategy, corporate social responsibility and customer orientation in explaining firm performance: a stakeholder view
  Ovidiu Niculae Bordean, Kathleen Welsh
  Economic Research-Ekonomska Istraživanja.2023;[Epub]     CrossRef
• A pilot study of experiencing racial microaggressions, obsessive-compulsive symptoms, and the role of psychological flexibility
  Morgan E. Browning, Elizabeth E. Lloyd-Richardson, Sidney L. Satterfield, Akshay V. Trisal
  Behavioural and Cognitive Psychotherapy.2023; 51(5): 396.     CrossRef
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  Hugo-Henrique Silva, Valéria Tavares, Maria-Raquel G. Silva, Beatriz Vieira Neto, Fátima Cerqueira, Rui Medeiros
  Genes.2023; 14(6): 1164.     CrossRef
• fMRI reveals overlapping and non‐overlapping neural bases of domain‐general and emotional conflict control
  Tingting Guo, John W. Schwieter, Huanhuan Liu
  Psychophysiology.2023;[Epub]     CrossRef
• Residents’ perception of tourism impacts and their support for tourism development: a study of a Bektashi faith destination in Türkiye
  Ibrahim Cifci, Orhan Akova, S. Mostafa Rasoolimanesh, Mert Ogretmenoglu
  Journal of Heritage Tourism.2023; 18(5): 691.     CrossRef
• Perceived a community with shared future for doctor-patient and benefit finding: a moderated mediation model 
  Renjie Lu, Shenyu Zhao, Jing Zhou, Weiyan Ou, Juan Wen, Lingmin Hu
  BMC Psychology.2023;[Epub]     CrossRef
• Does Adult Spinal Deformity Affect Cardiac Function? A Prospective Perioperative Study
  Yuki Mihara, Takeji Saitoh, Tomohiko Hasegawa, Yu Yamato, Go Yoshida, Tomohiro Banno, Hideyuki Arima, Shin Oe, Koichiro Ide, Tomohiro Yamada, Kenta Kurosu, Keiichi Nakai, Yukihiro Matsuyama
  Spine.2023; 48(12): 832.     CrossRef
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  Chiara Rinaldi, Cleuton Braga Landre, Maria Izabel Volpe, Rebeca Góes Gonçalves, Lucas dos Santos Nunes, Danyela Darienso, Ana Vitoria Cruz, João Douglas Oliveira, Salvatore Rinaldi, Vania Fontani, Ana Rita Barcessat
  Journal of Personalized Medicine.2023; 13(6): 937.     CrossRef
• Do the instruments used to assess fibromyalgia symptoms according to American College of Rheumatology criteria generate similar scores in other chronic musculoskeletal pain?
  André Pontes-Silva, Ana Paula de Sousa, Almir Vieira Dibai-Filho, Marcelo Cardoso de Souza, Josimari Melo DeSantana, Mariana Arias Avila
  BMC Musculoskeletal Disorders.2023;[Epub]     CrossRef
• Comparison of the Effect of Intracarpal Injection of Ketorolac With Triamcinolone in Carpal Tunnel Syndrome: A Randomized Controlled Trial
  Afshin Karimzadeh, Hadi Esmaily, Seyed Ahmad Raeissadat, Maryam Esmaelzade, Seyed Hossein Aghamiri, Najmeh Sadat Bolandnazar
  Annals of Pharmacotherapy.2023; : 106002802311751.     CrossRef
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  Elena Peribañez, Sofia Bayona, Jose San Martin, Ana Verde, Carlos Garre, Janika Leoste, Luis Pastor
  Machines.2023; 11(6): 629.     CrossRef
• Measuring Dementia Knowledge in German: Validation and Comparison of the Dementia Knowledge Assessment Scale, the Knowledge in Dementia Scale, and the Dementia Knowledge Assessment Tool 2
  Florian Melchior, Birgit Teichmann
  Journal of Alzheimer's Disease.2023; 94(2): 669.     CrossRef
• Scientific yoga module for hypothyroidism: A study protocol for tele-yoga RCT
  Savithri Nilkantham, Vijaya Majumdar, Amit Singh
  Contemporary Clinical Trials Communications.2023; 33: 101157.     CrossRef
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  Ahmet Kurtoğlu, Nurettin Konar, Faruk Akçınar, Bekir Çar, Nuray Üremiş, Yusuf Türköz, Özgür Eken, Halil İbrahim Ceylan, Vera Knappova, Magdalena Barasinska, Tomasz Gabrys
  Frontiers in Physiology.2023;[Epub]     CrossRef
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  Esther Park, Kyeong Eun Lee, Da-In Park, Barbara Sinacori
  Acta Paulista de Enfermagem.2023;[Epub]     CrossRef
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  Md. Noor Un Nabi, Sarif Mohammad Khan, S.M. Misbauddin, Kaniz Fatema
  International Journal of Pharmaceutical and Healthcare Marketing.2023; 17(3): 265.     CrossRef
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  Noriko I. Tanaka, Masataka Suwa, Hisashi Maeda, Aya Tomita, Takayuki Imoto, Hiroshi Akima
  Nutrition.2023; 113: 112083.     CrossRef
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  Pengtao Su, Pengbo Hu, Ling Xu, Bing Zhang
  BMC Pulmonary Medicine.2023;[Epub]     CrossRef
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  The Journal of Climate Change and Health.2023; 13: 100253.     CrossRef
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  Brenner Kássio Ferreira de Oliveira, Eloiza de Oliveira Silva, Sara Ventura, Guilherme Henrique Ferreira Vieira, Carla Djamila de Pina Victoria, Rildo Aparecido Volpini, Maria de Fátima Fernandes Vattimo
  Cells.2023; 12(13): 1688.     CrossRef
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  Louis‐Stéphane Le Clercq, Antoinette Kotzé, J. Paul Grobler, Desiré Lee Dalton
  Biological Reviews.2023;[Epub]     CrossRef
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  Hee Seung Nam, Hyun Jin Yoo, Jade Pei Yuik Ho, Yong Beom Kim, Yong Seuk Lee
  Knee Surgery, Sports Traumatology, Arthroscopy.2023;[Epub]     CrossRef
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  João Antônio Chula de Castro, Luiz Rodrigo Augustemak de Lima, Richard Larouche, Mark S. Tremblay, Diego Augusto Santos Silva
  Pediatric Exercise Science.2023; : 1.     CrossRef
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  Li Zhang, Minna Shen, Xianhong Shu, Jingmin Zhou, Jing Ding, Chunjiu Zhong, Baishen Pan, Beili Wang, Chunyan Zhang, Wei Guo
  BMC Medical Genomics.2023;[Epub]     CrossRef
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  Hatice Dayılar Candan, Satı Doğan
  Journal of Pediatric Nursing.2023;[Epub]     CrossRef
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  Zericho R. Marak, Vaishali Pagaria
  International Review of Economics.2023; 70(3): 341.     CrossRef
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  Jia-Ming Xiang, Ling-Ling Gao
  Journal of Reproductive and Infant Psychology.2023; : 1.     CrossRef
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  Shun Sawai, Shoya Fujikawa, Chihiro Ohsumi, Ryu Ushio, Kosuke Tamura, Ryosuke Yamamoto, Yoshihiro Kai, Shin Murata, Keisuke Shima, Hideki Nakano
  Frontiers in Neuroscience.2023;[Epub]     CrossRef
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  The Journal of Vascular Access.2023;[Epub]     CrossRef
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  Journal of Academic Ethics.2023;[Epub]     CrossRef
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  Zach Branson, Xinran Li, Peng Ding
  Biometrika.2023;[Epub]     CrossRef
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  Daniela Villani, Elisa Pancini, Francesca Pesce, Lucia Scuzzarella
  BMC Psychology.2023;[Epub]     CrossRef
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  Bioengineering.2023; 10(7): 816.     CrossRef
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  Hanying Zheng, Liling Pan, Tingxun Li
  Journal of Building Engineering.2023; 76: 107305.     CrossRef
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  Ismail Juma Ismail, David Amani, Ismail Abdi Changalima
  Heliyon.2023; 9(7): e18373.     CrossRef
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  Fabiola Spolaor, Annamaria Guiotto, Alfredo Ciniglio, Federica Cibin, Zimi Sawacha
  Frontiers in Sports and Active Living.2023;[Epub]     CrossRef
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  Khaled Naser Magableh, Selvi Kannan
  Entrepreneurship Education.2023; 6(2): 99.     CrossRef
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  Shruthi Eshwar, Kranti Konuganti, Supriya Manvi, Aarya N. Bharadwaj, Sudarshan Sajjan, Sateesha Shivally Boregowda, Vipin Jain
  Gels.2023; 9(7): 573.     CrossRef
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  Sylvia Y. C. L. Kwok, Jingwen Jiang, Siqi Fang
  Applied Psychology: Health and Well-Being.2023;[Epub]     CrossRef
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  Maria Riaz Hamdani, Ann Wallin, Neal M. Ashkanasy, Mark Fenton-O’Creevy
  Journal of Management Education.2023;[Epub]     CrossRef
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  Shintaro Sukegawa, Sawako Ono, Futa Tanaka, Yuta Inoue, Takeshi Hara, Kazumasa Yoshii, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Shimada Katsumitsu, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Satoshi Murakami, Hitoshi Nagatsuka, Minoru Miyake
  Scientific Reports.2023;[Epub]     CrossRef
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  Eleftherios Chatzimichail, Christian Wertheimer, Adnan Kilani, Susanna König, Zisis Gatzioufas, Armin Wolf, Efstathios Vounotrypidis
  Journal of Cataract and Refractive Surgery.2023; 49(8): 864.     CrossRef
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  International Journal of Women's Health.2023; Volume 15: 1125.     CrossRef
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  Jiulin Chen, Wei Zhou, Jingjing Chen, Haiyan Zhou, Zhangrong Chen, Xiaoyun Si, Bo Zhou, Fei Yan, Wei Li
  Biomarkers in Medicine.2023; 17(8): 417.     CrossRef
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  JMIR Research Protocols.2023; 12: e38369.     CrossRef
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  Journal of Cold Regions Engineering.2023;[Epub]     CrossRef
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  Immunopharmacology and Immunotoxicology.2023; : 1.     CrossRef
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  BMC Women's Health.2023;[Epub]     CrossRef
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  Disability and Rehabilitation.2023; : 1.     CrossRef
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  Personality and Individual Differences.2023; 214: 112357.     CrossRef
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  The Journal of Prosthetic Dentistry.2023;[Epub]     CrossRef
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  Frontiers in Oncology.2023;[Epub]     CrossRef
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  European Radiology.2023;[Epub]     CrossRef
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  Africa Journal of Nursing and Midwifery.2023;[Epub]     CrossRef
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  Giulia Cartocci, Bianca Maria Serena Inguscio, Andrea Giorgi, Alessia Vozzi, Carlo Antonio Leone, Rosa Grassia, Walter Di Nardo, Tiziana Di Cesare, Anna Rita Fetoni, Francesco Freni, Francesco Ciodaro, Francesco Galletti, Roberto Albera, Andrea Canale, Lu
  PLOS ONE.2023; 18(8): e0288461.     CrossRef
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  PLOS ONE.2023; 18(8): e0289948.     CrossRef
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  Yuyu Jiang, Zhongyi Chen, Baiyila Nuerdawulieti, Mengjie Chen, Jiang Nan, Jinping Li, Yan Ge
  Journal of Advanced Nursing.2023;[Epub]     CrossRef
• Tools for photomotor response assay standardization in ecotoxicological studies: Example of exposure to gentamicin in the freshwater planaria Schmidtea mediterranea
  Anthony G.E. Mathiron, Lucia Rejo, Florian Chapeau, Jean-Michel Malgouyres, Frédéric Silvestre, Caroline Vignet
  Environmental Toxicology and Pharmacology.2023; 102: 104242.     CrossRef
• Perceived Barriers among Indonesian General Dentists in Providing Caries Preventive Care for Pediatric Patients
  Safira Khairinisa, Febriana Setiawati, Risqa Rina Darwita, Diah Ayu Maharani
  European Journal of Dentistry.2023;[Epub]     CrossRef
• In Vitro Evaluation of the Effects of Different Beverages on the Surface Microhardness of a Single-Shade Universal Composite
  Ipsitha Vejendla, Hima Sandeep A, Pradeep S, Sahil Choudhari
  Cureus.2023;[Epub]     CrossRef
• The persuasive effect of humorous prompts on tourists’ heritage responsible behaviors
  Jia-Cheng Ji, Yong-Quan Li, Wen-Qi Ruan, Shu-Ning Zhang, Fang Deng
  Tourism Review.2023;[Epub]     CrossRef
• The effectiveness of isometric protocols using an external load or voluntary effort on jump height enhancement in trained females
  Dawid Koźlenia, Jarosław Domaradzki
  Scientific Reports.2023;[Epub]     CrossRef
• COVCOG: Immediate and long-term cognitive improvement after cognitive versus emotion management psychoeducation programs - a randomized trial in covid patients with neuropsychological difficulties
  Sylvie Willems, Vincent Didone, Carmen Cabello Fernandez, Gael Delrue, Hichem Slama, Patrick Fery, Julien Goin, Clara Della Libera, Michel Moutschen, Anne-Françoise Rousseau, Gilles Dupuis, Maud Billet, Maëlle Charonitis, Valentine Demoulin, Marie Dethier
  BMC Neurology.2023;[Epub]     CrossRef
• Root Canal Preparation of a Commercial Artificial Tooth versus Natural Tooth—A MicroCT Study
  Tiago Reis, Cláudia Barbosa, Margarida Franco, Catarina Batista, Nuno Alves, Pablo Castelo-Baz, José Martin-Cruces, Benjamín Martin-Biedma
  Applied Sciences.2023; 13(16): 9400.     CrossRef
• Cyclic fatigue resistance of different nickel‐titanium instruments in single and double curvature at room and body temperatures: A laboratory study
  Giusy Rita Maria La Rosa, Maria Laura Leotta, Francesco Saverio Canova, Virginia Rosy Romeo, Gabriele Cervino, Luigi Generali, Eugenio Pedullà
  Australian Endodontic Journal.2023;[Epub]     CrossRef
• The Impact of Proactive Resilience Strategies on Organizational Performance: Role of Ambidextrous and Dynamic Capabilities of SMEs in Manufacturing Sector
  Thillai Raja Pertheban, Ramayah Thurasamy, Anbalagan Marimuthu, Kumara Rajah Venkatachalam, Sanmugam Annamalah, Pradeep Paraman, Wong Chee Hoo
  Sustainability.2023; 15(16): 12665.     CrossRef
• Serious game as oral histology learning strategy for undergraduate dental students; crossover randomized controlled trial
  Lisa R. Amir, Irene C. Leonardy, Salsabila N. Dewatmoko, Rezon Yanuar, Dewi F. Suniarti, Erik Idrus, Kawin Sipiyaruk, Ria Puspitawati
  BMC Oral Health.2023;[Epub]     CrossRef
• Unveiling the Metaverse: Exploring Emerging Trends, Multifaceted Perspectives, and Future Challenges
  Mueen Uddin, Selvakumar Manickam, Hidayat Ullah, Muath Obaidat, Abdulhalim Dandoush
  IEEE Access.2023; 11: 87087.     CrossRef
• Association between Islamic religiosity, social support, marriage satisfaction, and postpartum depression in teenage mothers in West Java, Indonesia: A cross-sectional study
  Irma Nurbaeti, Kustati Budi Lestari, Moch Syafii
  Belitung Nursing Journal.2023; 9(4): 313.     CrossRef
• Regional plantar forces and surface geometry variations of a chronic ankle instability population described by statistical shape modelling
  Peimin Yu, Xuanzhen Cen, Liangliang Xiang, Qichang Mei, Alan Wang, Yaodong Gu, Justin Fernandez
  Gait & Posture.2023; 106: 11.     CrossRef
• Effectiveness of neuromuscular taping on balance, proprioception, pain, and nerve conduction parameters in patients with diabetic peripheral neuropathy: a two-group pretest-posttest randomized sham-controlled trial study protocol
  Kanika Thakur, Manu Goyal
  Journal of Diabetes & Metabolic Disorders.2023;[Epub]     CrossRef
• Temporal cross-correlation between Polar® heart rate monitor interface board and ECG to measure RR interval at rest
  Wollner Materko, Caio Cesar dos Reis Façanha, Gizelly Coelho Guedes, Marcela Fabiani Silva Dias, Alisson Vieira Costa, Dilson Rodrigues Belfort, Demilto Yamaguchi da Pureza, Alvaro Adolfo Duarte Alberto
  Isokinetics and Exercise Science.2023; : 1.     CrossRef
• Efficacy of Rational Emotive Behavior Therapy for the Alleviation of Psychological Distress and Amelioration of Psychological Well-Being Among End-Stage Renal Disease Patients
  Amna Aurooj, Nabiha Zia, Syed Khawar Nadeem Kirmani, Sadia Khan, Takreema Aurooj, Deerak Minhaj, Syeda Riffat Kafeel
  Journal of Contemporary Psychotherapy.2023;[Epub]     CrossRef
• Preliminary data on effects of different street vegetation on stress recovery
  Chao Liu, Nan Zhang, Jiaxin Li, Jing Shi, Weijun Gao, Yanan Yu
  Building Simulation.2023;[Epub]     CrossRef
• Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment
  Claire J. Han, Leorey Saligan, Adele Crouch, Matthew F. Kalady, Anne M. Noonan, Lena J. Lee, Diane Von Ah
  Supportive Care in Cancer.2023;[Epub]     CrossRef
• Survival analysis of temporary anchorage devices: A retrospective analysis in a Nigerian orthodontic patient population
  OnyinyeDorothy Umeh, UzomaLinda Offojebe, IkennaGerald Isiekwe, Ifeoma Utomi, Oluranti daCosta
  journal of orthodontic science.2023; 12(1): 45.     CrossRef
• Power Analysis and Exploratory Research
  Zelalem T. Haile
  Journal of Human Lactation.2023;[Epub]     CrossRef
• Social support for mothers living with HIV: A pilot investigation of the beneficial roles of positive parenting and community cohesion
  Jessica E. Mandell, Kathryn H. Howell, Lauren M. Schaefer, Robin N. Hardin, Idia B. Thurston
  Journal of HIV/AIDS & Social Services.2022; 21(1): 90.     CrossRef
• The Psychological Nursing Interventions Based on Pygmalion Effect Could Alleviate Negative Emotions of Patients with Suspected COVID-19 Patients: a Retrospective Analysis
  Sisi Zhang, Yazi Liu, Shuning Song, Shixiong Peng, Mao Xiong
  International Journal of General Medicine.2022; Volume 15: 513.     CrossRef
• Non-Invasive Transcutaneous Vagus Nerve Stimulation for the Treatment of Fibromyalgia Symptoms: A Study Protocol
  Andrés Molero-Chamizo, Michael A. Nitsche, Armin Bolz, Rafael Tomás Andújar Barroso, José R. Alameda Bailén, Jesús Carlos García Palomeque, Guadalupe Nathzidy Rivera-Urbina
  Brain Sciences.2022; 12(1): 95.     CrossRef
• Looking at buildings or trees? Association of human nature relatedness with eye movements in outdoor space
  Bingjing Chen, Chen Gong, Shuhua Li
  Journal of Environmental Psychology.2022; 80: 101756.     CrossRef
• Depictability of the upper gastrointestinal tract on forward‐viewing radial endoscopic ultrasonography versus standard upper esophagogastroduodenoscopy
  Tesshin Ban, Yoshimasa Kubota, Takuya Takahama, Shun Sasoh, Tomoaki Ando, Makoto Nakamura, Takashi Joh
  DEN Open.2022;[Epub]     CrossRef
• Sprint Performance and Mechanical Force-Velocity Profile among Different Maturational Stages in Young Soccer Players
  Luis Miguel Fernández-Galván, Pedro Jiménez-Reyes, Víctor Cuadrado-Peñafiel, Arturo Casado
  International Journal of Environmental Research and Public Health.2022; 19(3): 1412.     CrossRef
• Acute Effects of Heel-to-Toe Drop and Speed on Running Biomechanics and Strike Pattern in Male Recreational Runners: Application of Statistical Nonparametric Mapping in Lower Limb Biomechanics
  Peimin Yu, Yuhuan He, Yaodong Gu, Yuwei Liu, Rongrong Xuan, Justin Fernandez
  Frontiers in Bioengineering and Biotechnology.2022;[Epub]     CrossRef
• Perceived Entrepreneurial Stress and Entrepreneurial Resilience; The Mediating Role of the Well-Being of Entrepreneurs and Moderating Role Perceived Online Social Support
  Felix Kipkosgei
  Merits.2022; 2(1): 1.     CrossRef
• Congratulations on Child Health Nursing Research becoming a PubMed Central journal and reflections on its significance
  Sun Huh
  Child Health Nursing Research.2022; 28(1): 1.     CrossRef
• Effects of Inspiratory Muscle Training on Dyspnea And Pulmonary Function Test In Asthmatic Patients.
  Nida Ghaffar, Wajeeha Zia, Arslan Saeed, Muhammad Bilal , Maria Amjad, Syed Shakil Ur Rehman , Muhammad Umer Arshed
  Pakistan BioMedical Journal.2022;[Epub]     CrossRef
• Application of computer-based testing in the Korean Medical Licensing Examination, the emergence of the metaverse in medical education, journal metrics and statistics, and appreciation to reviewers and volunteers
  Sun Huh
  Journal of Educational Evaluation for Health Professions.2022; 19: 2.     CrossRef
• Soy isoflavones alleviate periodontal destruction in ovariectomized rats
  Chengcheng Liu, Shengdan Zhang, Huimin Bai, Yuwei Zhang, Yixuan Jiang, Zhuo Yang, Xin Xu, Yi Ding
  Journal of Periodontal Research.2022; 57(3): 519.     CrossRef
• On the management of maternal pushing during the second stage of labor: a biomechanical study considering passive tissue fatigue damage accumulation
  Maria C.P. Vila Pouca, João P.S. Ferreira, Marco P.L. Parente, Renato M. Natal Jorge, James A. Ashton-Miller
  American Journal of Obstetrics and Gynecology.2022; 227(2): 267.e1.     CrossRef
• Clinical observation of Long chiropractic treatment on patients with neurogenic cervical spondylosis
  Chen Wang, Zhongping Gu, Junwu Yu, Peizhen Zhang, Faming Yang
  Medicine.2022; 101(9): e28861.     CrossRef
• Impact of Meditation-Based Lifestyle Practices on Mindfulness, Wellbeing, and Plasma Telomerase Levels: A Case-Control Study
  Nirodhi Namika Dasanayaka, Nirmala Dushyanthi Sirisena, Nilakshi Samaranayake
  Frontiers in Psychology.2022;[Epub]     CrossRef
• Comparison of Jacobson’s Progressive Relaxation Technique and Laura Mitchell’s Relaxation Technique on quality of life and sleep in COPD Patients.
  Hajra Mujahid, Wajeeha Zia, Anas Ali, Mohtishim Ahmed, Muhammad Shamoos Saqib, Abdul Majid Shahid, Muhammad Umer Arshad
  Pakistan BioMedical Journal.2022;[Epub]     CrossRef
• Sample Size in Animal Studies (The number of laboratory animals in a Research study)
  Yousef Alimohamadi, Mojtaba Sepandi
  Iranian Journal of Medical Microbiology.2022; 16(2): 173.     CrossRef
• Pathological gait clustering in post-stroke patients using motion capture data
  Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi
  Gait & Posture.2022; 94: 210.     CrossRef
• Assessment of Knowledge, Attitude, and Practice of Obstetricians and Gynecologists Toward Off-Label Medicine Use in Female Reproductive Health Issues
  Sadia Shakeel, Wajiha Iffat, Ambreen Qamar, Shagufta Nesar, Fareeha Butt, Sobia Naseem Siddiqui, Hina Rehman, Anees ur Rehman
  Frontiers in Public Health.2022;[Epub]     CrossRef
• Serum D-dimer level as a predictor of neurological functional prognosis in cases of head injuries caused by road traffic accidents
  Masahiro Asami, Shinji Nakahara, Yasufumi Miyake, Jun Kanda, Takahiro Onuki, Akira Matsuno, Tetsuya Sakamoto
  BMC Emergency Medicine.2022;[Epub]     CrossRef
• Comparison of Jacobson’s Progressive Relaxation Technique and Laura Mitchell’s Relaxation Technique on quality of life and sleep in COPD Patients.
  Hajra Mujahid, Wajeeha Zia, Anas Ali, Mohtishim Ahmed, Muhammad Shamoos Saqib, Abdul Majid Shahid, Muhammad Umer Arshad
  Pakistan BioMedical Journal.2022;[Epub]     CrossRef
• Effect of Adding Vertical Correction to Dynamic Scapular Recognition on Scapular Dyskinesis and Shoulder Disability in Patients With Adhesive Capsulitis: A Randomized Clinical Study
  Ayman A. Mohamed, Motaz Alawna
  Journal of Chiropractic Medicine.2022; 21(2): 124.     CrossRef
• Consumers' Expectations on Transparency of Sustainable Food Chains
  Renata Pozelli Sabio, Eduardo Eugênio Spers
  Frontiers in Sustainable Food Systems.2022;[Epub]     CrossRef
• Behavioral intentions of rural farmers to recycle human excreta in agriculture
  Simon Gwara, Edilegnaw Wale, Alfred Odindo
  Scientific Reports.2022;[Epub]     CrossRef
• Patient Satisfaction with Services in a University Oral and Maxillofacial Surgery Clinic during the First Wave of COVID-19 Pandemic
  Palinee Hongpaitoon, Kiti Siriwatana, Nithimar Sermsuti-anuwat
  World Journal of Dentistry.2022; 13(3): 214.     CrossRef
• Pulsed-Ultrasound Irradiation Induces the Production of Itaconate and Attenuates Inflammatory Responses in Macrophages
  Atomu Yamaguchi, Noriaki Maeshige, Xiaoqi Ma, Mikiko Uemura, Hikari Noguchi, Mami Matsuda, Yuya Nishimura, Tomohisa Hasunuma, Hiroyo Kondo, Hidemi Fujino
  Journal of Inflammation Research.2022; Volume 15: 2387.     CrossRef
• Training and Transfer Effects of Combining Inhibitory Control Training With Transcutaneous Vagus Nerve Stimulation in Healthy Adults
  Chunchen Wang, Xinsheng Cao, Zhijun Gao, Yang Liu, Zhihong Wen
  Frontiers in Psychology.2022;[Epub]     CrossRef
• The Performance, Physiology and Morphology of Female and Male Olympic-Distance Triathletes
  Paulo J. Puccinelli, Claudio A. B. de Lira, Rodrigo L. Vancini, Pantelis T. Nikolaidis, Beat Knechtle, Thomas Rosemann, Marilia S. Andrade
  Healthcare.2022; 10(5): 797.     CrossRef
• The Big Five Personality Traits and Positive Orientation in Polish Adults with Multiple Sclerosis: The Role of Meaning in Life
  Małgorzata Szcześniak, Andrzej Potemkowski, Waldemar Brola, Zdzisław Kroplewski, Roman Ryszard Szałachowski, Marek Zak, Maciej Wilski, Piotr Sobolewski, Halina Bartosik-Psujek, Katarzyna Kapica-Topczewska, Joanna Tarasiuk, Agata Czarnowska, Alina Kułakows
  International Journal of Environmental Research and Public Health.2022; 19(9): 5426.     CrossRef
• Translational Value of the Transdermal Administration of Bergamot Essential Oil and of Its Fractions
  Damiana Scuteri, Laura Rombolà, Michele Crudo, Chizuko Watanabe, Hirokazu Mizoguchi, Shinobu Sakurada, Kengo Hamamura, Tsukasa Sakurada, Luigi Antonio Morrone, Paolo Tonin, Giacinto Bagetta, Maria Tiziana Corasaniti
  Pharmaceutics.2022; 14(5): 1006.     CrossRef
• ANALYSIS OF INDUCED ISOMETRIC FATIGUING CONTRACTIONS IN BICEPS BRACHII MUSCLES USING MYOTONOMETRY AND SURFACE ELECTROMYOGRAPHIC MEASUREMENTS
  SHIB SUNDAR BANERJEE, DEBOLEENA SADHUKHAN, AROCKIARAJAN ARUNACHALAKASI, RAMAKRISHNAN SWAMINATHAN
  Journal of Mechanics in Medicine and Biology.2022;[Epub]     CrossRef
• Competency and Related Factors in Preventing Emerging Infectious Diseases among Nurses in Long-Term Care Facilities in Taiwan
  Po-Jen Kung, Ching-Min Chen
  Healthcare.2022; 10(5): 894.     CrossRef
• Atorvastatin reduces alloxan-induced impairment of aversive stimulus memory in mice
  Osman Kukula, Caner Günaydın
  Asian Biomedicine.2022; 16(2): 71.     CrossRef
• Effect of the Innovative Running Shoes With the Special Midsole Structure on the Female Runners’ Lower Limb Biomechanics
  Fengqin Fu, Lianming Guo, Xunfei Tang, Jiayu Wang, Zhihao Xie, Gusztáv Fekete, Yuhui Cai, Qiuli Hu, Yaodong Gu
  Frontiers in Bioengineering and Biotechnology.2022;[Epub]     CrossRef
• The mediation role of psychological capital between family relationship and antenatal depressive symptoms among women with advanced maternal age: a cross sectional study
  Kai Zeng, Yang Li, Rumei Yang
  BMC Pregnancy and Childbirth.2022;[Epub]     CrossRef
• How to write an original article in medicine and medical science
  Gwansuk Kang, Sung Eun Kim
  Kosin Medical Journal.2022; 37(2): 96.     CrossRef
• The influence of learning mode and learning sharing behavior on the synchronicity of attention of sharers and learners
  Zhao Xiaojun, Kang Xinrui, Li Xupeng
  BMC Psychology.2022;[Epub]     CrossRef
• Antecedents and Consequences of Grit Among Working Adults: A Transpersonal Psychology Perspective
  Devanshi Agrawal, Surekha Chukkali, Sabah Singh
  Frontiers in Psychology.2022;[Epub]     CrossRef
• What is the believability of evidence that is read or heard by physical therapists?
  Chad E. Cook, Flavio Bonnet, Nicolas Maragano, Alessandra N. Garcia, Arne Vielitz, Sean P. Riley
  Brazilian Journal of Physical Therapy.2022; 26(4): 100428.     CrossRef
• Effects of virtual Reality-Based Training and aerobic training on gaming disorder, physical activity, physical fitness, and anxiety: A randomized, controlled trial
  Çağtay Maden, Kezban Bayramlar, Osman T. Arıcak, Naciye Vardar Yagli
  Mental Health and Physical Activity.2022; 23: 100465.     CrossRef
• Flexibility of Ballet Dancers in COVID-19 Pandemic: A Prospective Observational Study in Portugal
  Amanda Batista, Elmiro Neto, Luís Branquinho, Ricardo Ferraz, Joana Ribeiro, Pedro Forte, Lurdes Ávila-Carvalho
  International Journal of Environmental Research and Public Health.2022; 19(15): 9235.     CrossRef
• Feasibility of handheld ultrasound to assess heart rate in newborn nursery
  Shabih Manzar, Ramachandra Bhat
  Resuscitation.2022; 179: 78.     CrossRef
• Predicting individual muscle fatigue tolerance by resting-state EEG brain network *
  Zhiwei Li, Chanlin Yi, Chunli Chen, Chen Liu, Shu Zhang, Shunchang Li, Dongrui Gao, Liang Cheng, Xiabing Zhang, Junzhi Sun, Ying He, Peng Xu
  Journal of Neural Engineering.2022; 19(4): 046036.     CrossRef
• “ACTIVE VALUES”: An Interdisciplinary Educational Programme to Promote Healthy Lifestyles and Encourage Education in Values—A Rationale and Protocol Study
  José Francisco Jiménez-Parra, Noelia Belando-Pedreño, Jorge López-Fernández, Antonio Joaquín García-Vélez, Alfonso Valero-Valenzuela
  Applied Sciences.2022; 12(16): 8073.     CrossRef
• Study Protocol titled as “Effectiveness of neural mobilization in improving the ankle ROM and plantar pressure distribution in patients with diabetic peripheral neuropathy: A single group, pre post, quasi experimental study protocol”
  Madhu Goyat, Akanksha Saxena, Manu Goyal
  Journal of Diabetes & Metabolic Disorders.2022; 21(2): 2035.     CrossRef
• The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
  Antonio Altuna-Coy, Xavier Ruiz-Plazas, Silvia Sánchez-Martin, Helena Ascaso-Til, Manuel Prados-Saavedra, Marta Alves-Santiago, Xana Bernal-Escoté, José Segarra-Tomás, Matilde R. Chacón
  BMC Medicine.2022;[Epub]     CrossRef
• Differences in stereoacuity between crossed and uncrossed disparities reduce with practice
  Robin Clayton, John Siderov
  Ophthalmic and Physiological Optics.2022; 42(6): 1353.     CrossRef
• Immediate and short-term effects of continuous theta burst transcranial magnetic stimulation over contralesional premotor area on post-stroke spasticity in patients with severe hemiplegia: Study protocol for a randomized controlled trial
  Xiupan Wei, Nan Xia, Yang-An Li, Minghui Gu, Tongming Zhang, Wei Gao, Yali Liu
  Frontiers in Neurology.2022;[Epub]     CrossRef
• The Relationship between components of sample size Estimate and Sample Size
  Mohanasundari S.K., Sonia M.
  Asian Journal of Nursing Education and Research.2022; : 317.     CrossRef
• Clinical Significance of Neuregulin 4, Afamin, and SERPINB1 in Gestational Diabetes Mellitus and Their Relationship with Insulin Resistance
  Qian Li, Chunmei Li, Jing Jin, Yang Shen, Mei Wang, Weiguo Li
  Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1.     CrossRef
• Intentions to receive COVID-19 vaccination among people in Gaza Strip
  Said Abusalem, Sawsan Abuhammad, Shuying Sha, Madeline Martinez Mar, Yousef Aljeesh, Kamal M Eldeirawi
  Electronic Journal of General Medicine.2022; 19(6): em412.     CrossRef
• An Orthotopic Model of Glioblastoma Is Resistant to Radiodynamic Therapy with 5-AminoLevulinic Acid
  Charles Dupin, Jade Sutter, Samuel Amintas, Marie-Alix Derieppe, Magalie Lalanne, Soule Coulibaly, Joris Guyon, Thomas Daubon, Julian Boutin, Jean-Marc Blouin, Emmanuel Richard, François Moreau-Gaudry, Aurélie Bedel, Véronique Vendrely, Sandrine Dabernat
  Cancers.2022; 14(17): 4244.     CrossRef
• Non-invasive and quantitive analysis of flatfoot based on ultrasound
  Zhende Jiang, Qianpeng Zhang, Lei Ren, Zhihui Qian
  Frontiers in Bioengineering and Biotechnology.2022;[Epub]     CrossRef
• Influence of nasal septum deviation on fluctuating asymmetries of the nasomaxillary complex: A cross‐sectional study
  Sarah Braga Sayão de Paula, Lorena Andrade Nunes, Antônio Carlos de Oliveira Ruellas, Amanda Cunha Regal de Castro
  Journal of Anatomy.2022; 241(6): 1273.     CrossRef
• The characteristics of effective leadership on a selected sample of the human resources sector in the Serbian Ministry of Interior
  Tatjana Janovac, Saša Virijević-Jovanović, Jelena Zdravković
  Nauka bezbednost policija.2022; 27(2): 59.     CrossRef
• Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports
  Mahbubur Rahman, Sara Nowakowski, Ritwick Agrawal, Aanand Naik, Amir Sharafkhaneh, Javad Razjouyan
  Healthcare.2022; 10(10): 1837.     CrossRef
• Suggestions for Exercise Science’s Promotion to a Top-Tier Journal in the Category of Sports Science
  Sun Huh
  Exercise Science.2022; 31(3): 279.     CrossRef
• Relationship between Plasma Zinc and Red Blood Cell Zinc Levels in Hospitalized Patients
  Stefan Rodic, Christopher McCudden, Carl van Walraven
  The Journal of Applied Laboratory Medicine.2022; 7(6): 1412.     CrossRef
• Clinical Assessment of Functional Recovery Following Nerve Transfer for Traumatic Brachial Plexus Injuries
  Yi-Jung Tsai, Chih-Kun Hsiao, Fong-Chin Su, Yuan-Kun Tu
  International Journal of Environmental Research and Public Health.2022; 19(19): 12416.     CrossRef
• Marking the inclusion of the Korean Journal of Women Health Nursing in PubMed Central and strategies to be promoted to a top-tier journal in the nursing category
  Sun Huh
  Korean Journal of Women Health Nursing.2022; 28(3): 165.     CrossRef
• Exploring the impact of restaurants' physical environment on kitchen employees' creativity
  Shih-Shuo Yeh, Ku-Ho Lin, Tai-Ying Chiang, Cheng-Fa Lin, Tzung-Cheng Huan
  Tourism Management Perspectives.2022; 44: 101023.     CrossRef
• MicroRNA let-7f-5p regulates PI3K/AKT/COX2 signaling pathway in bacteria-induced pulmonary fibrosis via targeting of PIK3CA in forest musk deer
  Wei Zhao, Jianguo Cheng, Yan Luo, Wenlong Fu, Lei Zhou, Xiang Wang, Yin Wang, Zexiao Yang, Xueping Yao, Meishen Ren, Zhijun Zhong, Xi Wu, Ziwei Ren, Yimeng Li
  PeerJ.2022; 10: e14097.     CrossRef
• Socio-economic disparities in female genital circumcision: finding from a case-control study in Mahabad, Iran
  Shahla Shafaati Laleh, Ghodratollah Roshanaei, Farzaneh Soltani, Fatemeh Ghamari Mehran
  BMC Public Health.2022;[Epub]     CrossRef
• FTO Common Obesity SNPs Interact with Actionable Environmental Factors: Physical Activity, Sugar-Sweetened Beverages and Wine Consumption
  Danyel Chermon, Ruth Birk
  Nutrients.2022; 14(19): 4202.     CrossRef
• The impact of reminders on implementation intention: A randomized controlled trial
  Léonie Messmer, Fabien Fenouillet, Eve Legrand
  Applied Cognitive Psychology.2022; 36(6): 1251.     CrossRef
• Willingness of Older Adults with Chronic Diseases to Receive a Booster Dose of Inactivated Coronavirus Disease 2019 Vaccine: A Cross-Sectional Study in Taizhou, China
  Xiao-Qing Lin, A-Li Li, Mei-Xian Zhang, Li Lv, Yan Chen, He-Dan Chen, Tao-Hsin Tung, Jian-Sheng Zhu
  Vaccines.2022; 10(10): 1665.     CrossRef
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  Dongli Meng, Mengzhe Yang, Lilin Hu, Tonglin Liu, Huiliang Zhang, Xuying Sun, Xiaochuan Wang, Yu Chen, Yu Jin, Rong Liu
  Journal of Neurochemistry.2022; 163(5): 406.     CrossRef
• A randomized controlled trial of an mHealth application with nursing interaction to promote quality of life among community-dwelling older adults
  Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Jonathan Bayuo, Karen Kit Sum Chow, Siu Man Wong, Athena Yin Lam Lee
  Frontiers in Psychiatry.2022;[Epub]     CrossRef
• Gait Characteristics of Dynapenia, Sarcopenia, and Presarcopenia in Community-Dwelling Japanese Older Women: A Cross-Sectional Study
  Kohei Mori, Shin Murata, Akio Goda, Yuki Kikuchi, Kayoko Shiraiwa, Jun Horie, Hideki Nakano
  Healthcare.2022; 10(10): 1905.     CrossRef
• Development of a Human Motion Analysis System Based on Sensorized Insoles and Machine Learning Algorithms for Gait Evaluation
  Diego Henrique Antunes Nascimento, Fabrício Anicio Magalhães, George Schayer Sabino, Renan Alves Resende, Maria Lúcia Machado Duarte, Claysson Bruno Santos Vimieiro
  Inventions.2022; 7(4): 98.     CrossRef
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  Md. Nazmus Sakib, Mustafa Raza Rabbani, Iqbal Thonse Hawaldar, Mohammad Abdul Jabber, Jubait Hossain, Mohammad Sahabuddin
  Sustainability.2022; 14(20): 13643.     CrossRef
• Kick proficiency and skill adaptability increase from an Australian football small-sided game intervention
  Nathan Bonney, Paul Larkin, Kevin Ball
  Frontiers in Sports and Active Living.2022;[Epub]     CrossRef
• Estimation of Functional Reserve in Patients with Hospital-Associated Deconditioning
  Minhee Kim, Nackhwan Kim, Yuho Jeon, Seung-Jong Kim
  International Journal of Environmental Research and Public Health.2022; 19(21): 14140.     CrossRef
• Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status
  Hassan Jalil Shah, Jenho Peter Ou, Saman Attiq, Muhammad Umer, Wing-Keung Wong
  Sustainability.2022; 14(21): 14257.     CrossRef
• Feasibility and efficacy of spinal microtubular technique for resection of lumbar dumbbell-shaped tumors
  Rui Wang, Zeyan Liang, Yan Chen, Xiongjie Xu, Chunmei Chen
  Frontiers in Oncology.2022;[Epub]     CrossRef
• Systemic Inflammatory Response in Spontaneous Subarachnoid Hemorrhage from Aneurysmal Rupture versus Subarachnoid Hemorrhage of Unknown Origin
  Susanna Bacigaluppi, Nicola L Bragazzi, Federico Ivaldi, Federica Benvenuto, Antonio Uccelli, Gianluigi Zona
  Journal of Inflammation Research.2022; Volume 15: 6329.     CrossRef
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