Multiple comparison procedures for optimally discriminating between good, equivalent, and bad treatments with respect to a control

DOI10.1016/S0378-3758(99)00104-4zbMath0979.62048MaRDI QIDQ1970861

Guido Giani, Klaus Strassburger

Publication date: 18 February 2002

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

zbMATH Keywords

tablesnormal distributionsample size determinationmultiple testtwo-sided testleast favorable parameter configurationtype III errorsminimax partition procedurequasiconcave distributionsubset selection procdure

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Minimax procedures in statistical decision theory (62C20) Statistical ranking and selection procedures (62F07) Paired and multiple comparisons; multiple testing (62J15)

Related Items (3)

Partitioning with Respect to a Control: Unequal Sample Sizes Case ⋮ Partitioning \(k\) multivariate normal populations according to equivalence with respect to a standard vector ⋮ Comparing multiple treatments to both positive and negative controls

Cites Work

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• Control of directional errors with stagewise multiple test procedures
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• Multiple Comparisons and Type III Errors
• Multiple Three-Decision Rules for Parametric Signs
• Testing and Selecting for Equivalence With Respect to a Control
• Extension of two-sided test to multiple treatment trials
• Optimum Partition Procedures for Separating Good and Bad Treatments
• On Partitioning a Set of Normal Populations by Their Locations with Respect to a Control
• Optimal allocation of observations for partitioning a set of normal populations in comparison with a control

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