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- W2023790060 abstract "in studies involving a cyclic regularity, researchers usually have a good working knowledge regarding the peak time in the cycle. Capitalizing on this information, we derive the asymptotically uniformly most powerful unbiased test for detecting a cyclic trend using the likelihood score, and present the asymptotic power function of the test and the approximate formula for sample size. Numerical studies demonstrate great advantages of the proposed test over the standard test in terms of power and sample size. Asymptotic power of the score test is satisfactorily close to actual power. We also generalize this method so that it is applicable for incidence data from unequally spaced intervals or risk populations of unequal size." @default.
- W2023790060 created "2016-06-24" @default.
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- W2023790060 date "1996-01-01" @default.
- W2023790060 modified "2023-09-24" @default.
- W2023790060 title "Detection of Cyclic Trends in Incidence Data Using the Efficiency Score Method" @default.
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- W2023790060 doi "https://doi.org/10.1002/bimj.4710380604" @default.
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