Sample size calculations for mixture alternatives in a control group vs. treatment group design

DOI10.1080/02331888.2020.1715407zbMath1436.62380OpenAlexW3000861409WikidataQ126293751 ScholiaQ126293751MaRDI QIDQ5213359

Weixin Yao, Daniel R. Jeske

Publication date: 3 February 2020

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2020.1715407

zbMATH Keywords

sample sizepowerWilcoxon testmixture modelstreatment effect

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Statistical block designs (62K10) Response surface designs (62K20)

Cites Work

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• Locally Most Powerful Tests for Detecting Treatment Effects When Only a Subset of Patients Can Be Expected to "Respond" to Treatment
• Finite mixture models
• On Information and Sufficiency
• On Mixture Alternatives and Wilcoxon’s Signed-Rank Test

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