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Output when knitting the file "PowerAnalyses.Rmd" using Rstudio (https://www.rstudio.com/)
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创建时间:
2017-01-01
相关数据集
Supplement to ``Investigation of methods to enhance the power of high-dimensional tests"
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
科学数据银行2024-10-17 更新60
Statistical power simulations of the gene expression dataset.
The statistical power (Z; 1- ß) is the probability of obtaining statistical significance in comparing gene expression. Simulations for unpaired two-class comparison statistics are described in the Mat
NIAID Data Ecosystem60
Additional file 3: of Gain of power of the general regression model compared to Cochran-Armitage Trend tests: simulation study and application to bipolar disorder
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
NIAID Data Ecosystem50
Appendix D. Power analysis when varying the number of stations sampled per year.
Power analysis when varying the number of stations sampled per year.
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Post-hoc power analysis to determine statistical power of the stereological quantifications performed in two previous publications from our laboratory.
*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.
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