Optimally weighted, fixed sequence and gatekeeper multiple testing procedures

DOI10.1016/S0378-3758(01)00077-5zbMath0985.62056WikidataQ126574554 ScholiaQ126574554MaRDI QIDQ5954817

Alok Krishen, Peter H. Westfall

Publication date: 23 May 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

multiple comparisonsadjusted p-valueBonferroni inequalityclosed testingfamily-wise error rate

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Paired and multiple comparisons; multiple testing (62J15)

Related Items (23)

An expected power approach for the assessment of composite endpoints and their components ⋮ Development of gatekeeping strategies in confirmatory clinical trials ⋮ Nonparametric multiple test procedures with data-driven order of hypotheses and with weighted hypotheses ⋮ Testing effect of a drug using multiple nested models for the dose–response ⋮ A simple data-driven fallback procedure for multiple comparisons ⋮ A new approach to address multiplicity in hypothesis testing with constraints ⋮ A decision theoretic approach to optimization of multiple testing procedures ⋮ Note on a stepwise procedure for rejecting at least k out of m hypotheses: A simple Holm‐type formulation and proof ⋮ The sequential rejection principle of familywise error control ⋮ Applications of covering principle to clinical trials with multiple objectives ⋮ Genome-wide significance levels and weighted hypothesis testing ⋮ FDR- and FWE-controlling methods using data-driven weights ⋮ Combining Multiple Comparisons and Modeling Techniques in Dose‐Response Studies ⋮ General theory of mixture procedures for gatekeeping ⋮ Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests ⋮ Protocol Designed Subgroup Analyses in Multiarmed Clinical Trials: Multiplicity Aspects ⋮ Industry, Government, and Academic Panel Discussion on Multiple Comparisons in a “Real” Phase Three Clinical Trial ⋮ LOPSIDED REASONING ON LOPSIDED TESTS AND MULTIPLE COMPARISONS ⋮ Weighted methods controlling the multiplicity when the number of variables is much higher than the number of observations ⋮ A simple and flexible Holm gatekeeping procedure ⋮ Comparison of design strategies for a three-arm clinical trial with time-to-event endpoint: Power, time-to-analysis, and operational aspects ⋮ Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding ⋮ Classes of multiple decision functions strongly controlling FWER and FDR

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