Institute of Mathematical Statistics Lecture Notes - Monograph Series

Power and sample size comparisons of stepwise FWE and FDR controlling test procedures in the normal many-one case

Manfred Horn, Charles W. Dunnett

Source: Y. Benjamini, F. Bretz and S. Sarkar, eds., Recent Developments in Multiple Comparison Procedures (Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2004), 48-64.

Abstract

Our paper compares the any-pair power, all-pairs power and per-pair power of several test procedures that control either the familywise error rate (FWE) or the false discovery rate (FDR). Our investigations are restricted to one-sided many-one comparisons of normal distributions. Some of the investigated procedures make use of this known special structure and some do not. The numbers $k$ of hypotheses we considered were 5, 10 and 100. The statements with small and large $k$ were quite similar. We found that all methods except one do not essentially differ in their any-pair powers. The most remarkable differences between the test procedures can be observed concerning their all-pairs powers.

We also compared the sample sizes that are necessary for the different procedures to ensure a specified power and investigated their dependency on the number $k$ of hypotheses. With specified per-pair or any-pair power, the FWE controlling methods need similar sample sizes as the FDR controlling methods. With specified all-pairs power, the sample sizes for four of the six FDR controlling procedures studied increase with $k$ at noticeably lower rates than for the FWE controlling procedures.

Primary Subjects: 62F03
Secondary Subjects: 62J15
Keywords: multiple comparison procedures; false discovery rate; familywise error rate; any-pair power; all-pairs power; per-pair power; average power; sample size; comparisons with control

Full-text: Open access

Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.lnms/1196285625
Mathematical Reviews (MathSciNet): MR2118591

Digital Object Identifier: doi:10.1214/lnms/1196285625

2009 © Institute of Mathematical Statistics

Institute of Mathematical Statistics Lecture Notes - Monograph Series

Institute of Mathematical Statistics Lecture Notes - Monograph Series