Published in

Wiley, Journal of the Royal Statistical Society: Series B, 4(67), p. 555-572, 2005

DOI: 10.1111/j.1467-9868.2005.00515.x

Links

Tools

Export citation

Search in Google Scholar

Estimating the proportion of true null hypotheses, with application to DNA microarray data

Journal article published in 2003 by Mette Langaas, Egil Ferkingstad ORCID, Bo Henry Lindqvist
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

We consider the problem of estimating the proportion of true null hypotheses, "π"0, in a multiple-hypothesis set-up. The tests are based on observed "p"-values. We first review published estimators based on the estimator that was suggested by Schweder and Spjøtvoll. Then we derive new estimators based on nonparametric maximum likelihood estimation of the "p"-value density, restricting to decreasing and convex decreasing densities. The estimators of "π"0 are all derived under the assumption of independent test statistics. Their performance under dependence is investigated in a simulation study. We find that the estimators are relatively robust with respect to the assumption of independence and work well also for test statistics with moderate dependence. Copyright 2005 Royal Statistical Society.