Post hoc power estimation in large-scale multiple testing problems.

ABSTRACT:

Background

The statistical power or multiple Type II error rate in large-scale multiple testing problems as, for example, in gene expression microarray experiments, depends on typically unknown parameters and is therefore difficult to assess a priori. However, it has been suggested to estimate the multiple Type II error rate post hoc, based on the observed data.

Methods

We consider a class of post hoc estimators that are functions of the estimated proportion of true null hypotheses among all hypotheses. Numerous estimators for this proportion have been proposed and we investigate the statistical properties of the derived multiple Type II error rate estimators in an extensive simulation study.

Results

The performance of the estimators in terms of the mean squared error

SUBMITTER: Zehetmayer S 

PROVIDER: S-EPMC3500624 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature