Title
Exact Methods for Testing Homogeneity of Proportions for Multiple Groups of Paired Binary Data
Document Type
Article
Publication Date
1-1-2017
Publication Title
Communications in Statistics: Simulation and Computation
Volume
46
Issue
8
First page number:
6074
Last page number:
6082
Abstract
We consider four exact procedures to test the homogeneity of proportions for correlated multiple clustered data. Exact procedures are compared with the asymptotic approach based on the score statistic. We use a real example from a double-blind clinical trial studying the treatment of otitis media to illustrate the various test procedures and provide extensive numerical studies to compare procedures with regards to Type I error rates and powers under the unconditional framework. The exact unconditional procedure based on estimation followed by maximization is generally more powerful than other procedures. © 2017 Taylor & Francis Group, LLC.
Keywords
E p-value; E + M p-value; Exact tests; M p-value; Nuisance parameters; Unconditional test
Language
english
Repository Citation
Liu, X.,
Shan, G.,
Tian, L.,
Ma, C.
(2017).
Exact Methods for Testing Homogeneity of Proportions for Multiple Groups of Paired Binary Data.
Communications in Statistics: Simulation and Computation, 46(8),
6074-6082.
http://dx.doi.org/10.1080/03610918.2016.1193194