Sample size estimation to detect at least , 0.5, 0.6, 0.7 and 0.8 truly altered regions for the desired power up to 0.8 and 0.9, with different significance level.
*Effect size, f, was determined using one-way ANOVA to compare multiple groups. #Effect size, d, was determined using Student's t-tests to compare between two groups.
This dataset contains the sample sizes required for obtaining a statistical significant result for a desired minimum effect size (MES) when carrying out Fisher’s tests of significance (e.g., 1954) to
Appendix S1. and Appendix S2. reported shell and Pearl scripts which included PLINK commands [19]) used to analyze real dataset and to perform all simulations, computation of type I error and power es
Proposals to increase research reproducibility frequently call for focusing on effect sizes instead of p values, as well as for increasing the statistical power of experiments. However, it is unclear
This is a simulation result of the effectiveness improvement methods for high-dimensional data testing (such as mean testing, linear model testing, and independence testing), including images and tabl
