通过协变量调整提高具有右删失结局的随机试验的检验效能。
Increasing power in randomized trials with right censored outcomes through covariate adjustment.
作者信息
Moore K L, van der Laan M J
机构信息
Division of Biostatistics, University of California, Berkeley, Berkeley, California, USA.
出版信息
J Biopharm Stat. 2009 Nov;19(6):1099-131. doi: 10.1080/10543400903243017.
Abstract
Targeted maximum likelihood methodology is applied to provide a test that makes use of the covariate data that are commonly collected in randomized trials, and does not require assumptions beyond those of the logrank test when censoring is uninformative. Under informative censoring, the logrank test is biased, whereas the test provided in this article is consistent under consistent estimation of the censoring mechanism or the conditional hazard for survival. Two approaches based on this methodology are provided: (1) a substitution-based approach that targets treatment and time-specific survival from which the logrank parameter is estimated, and (2) directly targeting the logrank parameter.
摘要
目标最大似然法被用于提供一种检验，该检验利用随机试验中通常收集的协变量数据，并且在删失无信息时不需要除对数秩检验之外的假设。在信息性删失的情况下，对数秩检验存在偏差，而本文提供的检验在删失机制或生存条件风险的一致估计下是一致的。基于该方法提供了两种途径：（1）一种基于替换的途径，其针对治疗和特定时间的生存情况来估计对数秩参数；（2）直接针对对数秩参数。
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