Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference
Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference
Summary Two-sample multiple testing has a wide range of applications. The conventional practice first reduces the original observations to a vector of p-values and then chooses a cut-off to adjust for multiplicity. However, this data reduction step could cause significant loss of information and thus lead to suboptimal testing procedures. …