Exact Methods for Testing Homogeneity of Proportions for Multiple Groups of Paired Binary Data
Communications in Statistics: Simulation and Computation
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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.
E p-value; E + M p-value; Exact tests; M p-value; Nuisance parameters; Unconditional test
Exact Methods for Testing Homogeneity of Proportions for Multiple Groups of Paired Binary Data.
Communications in Statistics: Simulation and Computation, 46(8),