Too Good to be False: Nonsignificant Results Revisited

A project on P-value distributions, and how these can be used to estimate effects even when individual p-values are non-significant. All files are pulled from the Github repository and updated on the go.

一项关于P值分布及其在个体P值非显著情况下估算效应的应用项目。所有文件均来源于GitHub仓库，并实时更新。