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**Some results on false discovery rate in stepwise multiple testing procedures.**
*(English)*
Zbl 1101.62349

Summary: The concept of false discovery rate (FDR) has been receiving increasing attention by researchers in multiple hypotheses testing. This paper produces some theoretical results on the FDR in the context of stepwise multiple testing procedures with dependent test statistics. It was recently shown byY. Benjamini and D. Yekutieli [ibid. 29, No. 4, 1165–1188 (2001; Zbl 1041.62061)] that the Benjamini-Hochberg step-up procedure controls the FDR when the test statistics are positively dependent in a certain sense. This paper strengthens their work by showing that the critical values of that procedure can be used in a much more general stepwise procedure under similar positive dependency. It is also shown that the FDR-controlling the Y. Benjamini and W. Liu step-down procedure [J. Stat. Plann. Inference 82, No. 1–2, 163–170 (1999; Zbl 1063.62558)] originally developed for independent test statistics works even when the test statistics are positively dependent in some sense. An explicit expression for the FDR of a generalized stepwise procedure and an upper bound to the FDR of a step-down procedure are obtained in terms of probability distributions of ordered components of dependent random variables before establishing the main results.

### MSC:

62H15 | Hypothesis testing in multivariate analysis |

62J15 | Paired and multiple comparisons; multiple testing |

Full Text:
DOI

### References:

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