Control of directional errors in fixed sequence multiple testing

Anjana Grandhi, Wenge Guo, Joseph P. Romano

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we consider the problem of simultaneously testing many two-sided hypotheses when rejections of null hypotheses are accompanied by claims of the direction of the alternative. The fundamental goal is to construct methods that control the mixed directional familywise error rate (mdFWER), which is the probability of making any type 1 or type 3 (directional) error. In particular, attention is focused on cases where the hypotheses are ordered as H1, . . ., Hn, so that Hi+1 is tested only if H1, . . ., Hi have all been previously rejected. In this situation, one can control the usual familywise error rate under arbitrary dependence by the basic procedure which tests each hypothesis at level α, and no other multiplicity adjustment is needed. However, we show that this is far too liberal if one also accounts for directional errors. But, by imposing certain dependence assumptions on the test statistics, one can retain the basic procedure. Through a simulation study and a clinical trial example, we numerically illustrate good performance of the proposed procedures compared to the existing mdFWER controlling procedures. The proposed procedures are also implemented in the R-package FixSeqMTP.

Original languageEnglish (US)
Pages (from-to)1047-1064
Number of pages18
JournalStatistica Sinica
Volume29
Issue number2
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Directional error
  • Fixed sequence multiple testing
  • Mixed directional familywise error rate
  • Monotone likelihood ratio
  • Positive dependence
  • Type 1 error

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