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Test statistics from the weighted logrank class are commonly used to compare treatments when there is right censoring, testing for trend and testing for independence . This thesis uses saddlepoint methods to determine midpvalues, and confidence intervals from the null permutation distributions of tests from the weighted logrank class. Analytical saddlepoint computations replace the permutation simulations and provide midpvalues that are virtually exact for all practical purposes.
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