Exact methods for testing homogeneity of proportions for multiple groups of paired binary data

DOI10.1080/03610918.2016.1193194zbMath1388.62031OpenAlexW2476203248MaRDI QIDQ4638804

Chang-Xing Ma, Lili Tian, Xiao-Bin Liu, Guogen Shan

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1193194

zbMATH Keywords

nuisance parametersexact testsunconditional testE \(p\)-valueE + M \(p\)-valueM \(p\)-value

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Exact distribution theory in statistics (62E15)

Related Items (2)

Testing homogeneity of difference of two proportions for stratified correlated paired binary data ⋮ Homogeneity test of relative risk ratios for stratified bilateral data under different algorithms

Cites Work

• Testing the equality of proportions for correlated otolaryngologic data
• A survey of exact inference for contingency tables. With comments and a rejoinder by the author
• More efficient unconditional tests for exchangeable binary data with equal cluster sizes
• Exact approaches for testing non-inferiority or superiority of two incidence rates
• EXACTP-VALUES FOR DISCRETE MODELS OBTAINED BY ESTIMATION AND MAXIMIZATION
• Paired Bernoulli Trials
• A New Exact and More Powerful Unconditional Test of No Treatment Effect from Binary Matched Pairs
• On the Elimination of Nuisance Parameters
• P Values Maximized Over a Confidence Set for the Nuisance Parameter

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