EQUIVALENCE TESTS FOR PAIR-MATCHED BINARY DATA
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概要
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Equivalence tests for binary data with pair-matched design in clinical trials are explored in this paper. Eight tests are considered altogether including those tests constructed by the GSK method, the tests which use estimated null variances among others. The Type I error rates and powers are investigated by a Monte Carlo study, and it is shown that the test associated with the log-risk difference has the highest power among those eight tests. The determination of the value of tolerance is also discussed.
- Research Association of Statistical Sciencesの論文
- 1996-03-00
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