rank_ttest: Compute ranking of biomarkers by sorting t-test p-values

In wilsoncai1992/adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing

Description

Compute ranking of biomarkers by sorting t-test p-values

Usage

rank_ttest(Y, A, W)

Arguments

Y	(numeric vector) - continuous or binary biomarkers outcome variables
A	(numeric vector) - binary treatment indicator: 1 = treatment, 0 = control
W	(numeric vector, numeric matrix, or numeric data.frame) - matrix of baseline covariates where each column corrspond to one baseline covariate and each row correspond to one observation.

Value

an integer vector containing ranks of biomarkers.

Examples

set.seed(1234)
data(simpleArray)
rank_ttest(Y = simulated_array,
           A = simulated_treatment,
           W = rep(1, length(A)))

wilsoncai1992/adaptest documentation built on Jan. 6, 2020, 2:33 p.m.