The sensitivity analyses (Supplementary Table S13) show that our summary effect sizes were unaffected by our estimates of unreported standard deviations, and fixed effect models (Supplementary Table S5) were broadly consistent with the main random effects models. Accounting for repeated measures on the...
differential map was obtained. Second, using effect sizes, reported peak coordinates were combined with statistical parametric maps for more accurate meta-analyses. Third, the heterogeneity, robustness and publication bias of the results were assessed (three analyses were used in our study). In SDM ...
The calculation of the number of subjects or sample size is illustrated for a variety of basic study designs, assuming that the data may be correlated and the analysis of the data uses generalized estimating equations methodology. The sample sizes use asymptotic theory developed by Liu and Liang....
To describe the sample sizes used or reported in clinical agreement studies with a categorical (binary or ordinal) or continuous endpoint; 2. To describe the sample sizes used in agreement studies when using different statistical methods to assess agreement; 3. To describe the use of formal ...
Importantly, studies in Group B used significantly larger sample sizes than studies in Group A (Supplementary material). Overall, studies in group B are more robust, and their results more reliable. In regard with MRI markers of thrombus composition, older studies are associating the susceptibility...
The required sample sizes were calculated and tabulated with different levels of accuracies and marginal errors with 95% confidence level for estimating and for various effect sizes with 80% power for purpose of testing as well. The results show how sample size is varied with accuracy index and...
For example, with 4 primary hypotheses, a Type I error rate of α = 0.05 ÷ 4 = 0.0125 would be used. Having conducted 4 power analyses leads to 4 different power values or ideal sample sizes. In the absence of time, cost, and ethical concerns, the scientist may choose the largest ...
With an alpha = 0.05 and power = 0.80, the group sample sizes of N = 140/130 allowed a minimum detectable effect (MDE) of d = 0.30, or ηp 2 ≈ 0.02 (Cohen, 2013). Because of smaller group sample sizes of N = 94/84, the SCR analysis allowed an ...
Small-study effects refer to the fact that trials with limited sample sizes are more likely to report larger beneficial effects than large trials. However, this has never been investigated in critical care medicine. Thus, the present study aimed to exami
Overall, the DE power increases with higher number of measured cells and higher sample sizes, while the expression probability is mainly influenced by the number of measured cells. Fig. 3: Expression probability, DE/eQTL power and overall detection power and their validation in simulation studies....