False discovery rate control in two-stage designs.

ABSTRACT:

Background

For gene expression or gene association studies with a large number of hypotheses the number of measurements per marker in a conventional single-stage design is often low due to limited resources. Two-stage designs have been proposed where in a first stage promising hypotheses are identified and further investigated in the second stage with larger sample sizes. For two types of two-stage designs proposed in the literature we derive multiple testing procedures controlling the False Discovery Rate (FDR) demonstrating FDR control by simulations: designs where a fixed number of top-ranked hypotheses are selected and designs where the selection in the interim analysis is based on an FDR threshold. In contrast to earlier approaches which use only the second-stage data in the h

SUBMITTER: Zehetmayer S 

PROVIDER: S-EPMC3496575 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature