Large sample tests for simultaneous comparison to multiple controls in terms of binomial proportions
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Published on: May 18, 2020
Julia N Soulakova1, Linlin Luo
1Department of Statistics, University of Nebraska-Lincoln, Lincoln , NE, USA. jsoulakova2@unl.edu
Abstract:
A problem of illustrating simultaneous superiority of a certain treatment over three (or more) controls in terms of binomial proportions is considered. Applications of nine large sample intersection-union tests are discussed. The tests include the Min tests based on Wald, pooled, and Falk and Koch ( 1998 ) tests for the differences between two proportions, and their adjustments via Berger and Boos ( 1994 ) and Röhmel and Mansmann ( 1999 ) methods. Results of a large simulation study conducted to compare the proposed tests in terms of their Type I error rate and power and investigate proximity of the proposed approximate power and alternative approaches to estimate the minimum required sample size for balanced designs are discussed.
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