Testing equality of correlated proportions with incomplete data on both responses
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Two test statistics are proposed for testing the equality of two correlated proportions when some observations are missing on both responses. The performance of these tests in terms of size and power is compared with other tests by means of Monte Carlo simulations. The proposed tests are easily computed and compare favorably with other tests.
Key wordscombination of tests equality of correlated proportions incomplete data asymptotically most powerful test Monte Carlo study antithetic variates power comparison
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