stratified_bh: stratified_bh: Stratified Benjamini Hochberg

In nignatiadis/IHWpaper: Reproduce figures in IHW paper

Description

stratified_bh: Stratified Benjamini Hochberg

Usage

stratified_bh(unadj_p, groups, alpha)

Arguments

unadj_p	Numeric vector of unadjusted p-values.
groups	Factor to which different hypotheses belong
alpha	Significance level at which to apply method

Value

SBH multiple testing object

References

Sun, Lei, et al. "Stratified false discovery control for large-scale hypothesis testing with application to genome-wide association studies." Genetic epidemiology 30.6 (2006): 519-530.

Yoo, Yun J., et al. "Were genome-wide linkage studies a waste of time? Exploiting candidate regions within genome-wide association studies." Genetic epidemiology 34.2 (2010): 107-118.

Examples

     sim_df <- du_ttest_sim(20000,0.95, 1.5)
     sim_df$group <- groups_by_filter(sim_df$filterstat, 20)
     obj <- stratified_bh(sim_df$pvalue, sim_df$group, .1)
     sum(rejected_hypotheses(obj))

nignatiadis/IHWpaper documentation built on Jan. 18, 2021, 2:24 p.m.