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• W2110147390 abstract "We investigate a binary partitioning algorithm in the case of a continuous repeated measures outcome. The procedure is based on the use of the likelihood ratio statistic to evaluate the performance of individual splits. The procedure partitions a set of longitudinal data into two mutually exclusive groups based on an optimal split of a continuous prognostic variable. A permutation test is used to assess the level of significance associated with the optimal split, and a bootstrap confidence interval is obtained for the optimal split." @default.
• W2110147390 created "2016-06-24" @default.
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• W2110147390 date "2002-01-01" @default.
• W2110147390 modified "2023-10-01" @default.
• W2110147390 title "Binary partitioning for continuous longitudinal data: categorizing a prognostic variable" @default.
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• W2110147390 doi "https://doi.org/10.1002/sim.1266" @default.
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