Uniformly most powerful tests for simultaneously detecting a treatment effect in the overall population and at least one subpopulation

DOI10.1016/J.JSPI.2014.07.001zbMath1307.62188OpenAlexW2095575790WikidataQ37261716 ScholiaQ37261716MaRDI QIDQ466533

Michael G. Rosenblum

Publication date: 27 October 2014

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

Full work available at URL: https://biostats.bepress.com/jhubiostat/paper236

zbMATH Keywords

optimizationpersonalized medicinefamilywise type I error

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Optimal Multiple Testing and Design in Clinical Trials

Cites Work

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• On the rate of convergence in the multivariate CLT
• Multiple test procedures for arbitrary dependence structures
• Bonferroni procedures for logically related hypotheses.
• The partitioning principle: a powerful tool in multiple decision theory
• Testing hypotheses in order
• Optimal testing of multiple hypotheses with common effect direction
• On closed testing procedures with special reference to ordered analysis of variance
• Asymptotic Statistics
• Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming
• Shortcuts for Locally Consonant Closed Test Procedures
• Testing Statistical Hypotheses
• Simultaneous Test Procedures--Some Theory of Multiple Comparisons
• Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing

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