Ontology highlight
ABSTRACT:
SUBMITTER: Zehetmayer S
PROVIDER: S-EPMC3500624 | biostudies-literature | 2010 Apr
REPOSITORIES: biostudies-literature
Zehetmayer Sonja S Posch Martin M
Bioinformatics (Oxford, England) 20100225 8
<h4>Background</h4>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.<h4>Methods</h4>We consider a class of post hoc estimators that are functions of the estimated proportion of true null hypothese ...[more]