Sample size planning for rank‐based multiple contrast tests
Abstract: Rank methods are well‐established tools for comparing two or multiple (independent) groups. Statistical planning methods for the computing the required sample size (s) to detect a specific alternative with predefined power are lacking. In the present paper, we develop numerical algorithms for sample size planning of pseudo‐rank‐based multiple contrast tests. We discuss the treatment effects and different ways to approximate variance parameters within the estimation scheme. We further compare pairwise with global rank methods in detail. Extensive simulation studies show that the sample size estimators are accurate. A real data example illustrates the application of the methods.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Sample size planning for rank‐based multiple contrast tests ; volume:66 ; number:3 ; year:2024 ; extent:16
Biometrical journal ; 66, Heft 3 (2024) (gesamt 16)
- Creator
- DOI
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10.1002/bimj.202300240
- URN
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urn:nbn:de:101:1-2404191414120.167915370757
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
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Associated
- Pöhlmann, Anna
- Brunner, Edgar
- Konietschke, Frank
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