Notes on Test Homogeneity of the Odds Ratio in Matched Pairs Under Stratified Sampling: A Monte Carlo Evaluation |
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Authors: | Kung-Jong Lui Chii-Dean Lin |
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Affiliation: | 1. Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, CA, USAkjl@rohan.sdsu.edu;3. Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, CA, USA |
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Abstract: | ![]() Using Monte Carlo simulation, we compare the performance of five asymptotic test procedures and a randomized permutation test procedure for testing the homogeneity of odds ratio under the stratified matched-pair design. We note that the weighted-least-square test procedure is liberal, while Pearson's goodness-of-fit (PGF) test procedure with the continuity correction is conservative. We note that PGF without the continuity correction, the conditional likelihood ratio test procedure, and the randomized permutation test procedure can generally perform well with respect to Type I error. We use the data taken from a case–control study regarding the endometrial cancer incidence published elsewhere to illustrate the use of these test procedures. |
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Keywords: | Conditional likelihood ratio test Goodness-of-fit test Homogeneity Matched pair Odds ratio Weighted-least-squares test |
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