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Power Loss of Stratified Log-Rank Test in Homogeneous Samples

机译:均匀样本中分层对数秩检验的功率损耗

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摘要

We study the loss of power of the stratified log-rank test (SLRT) compared to the unstratified log-rank test (ULRT) in the case of a large number of strata with relatively a small number of stratum sizes in terms of the asymptotic distributions of test statistics under local alternatives. The SLRT tends to lose information due to overstratification. It is better to test the homogeneity among strata before using the stratified log-rank test.
机译:我们研究了分层对数秩检验(SLRT)与非分层对数秩检验(ULRT)相比在渐进分布方面具有相对较小的层数的情况下的功率损失本地替代项下的测试统计信息。由于过度分层,SLRT往往会丢失信息。在使用分层对数秩检验之前,最好测试各层之间的均匀性。

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    Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA;

    Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA;

    Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA;

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