ASSESSING APPARENT TREATMENT - COVARIATE INTERACTIONS IN RANDOMIZED CLINICAL-TRIALS
ASSESSING APPARENT TREATMENT - COVARIATE INTERACTIONS IN RANDOMIZED CLINICAL-TRIALS
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DOI：
10.1002/sim.4780040304
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发表时间：
1985-01-01
影响因子：
2
通讯作者：
BYAR, DP
中科院分区：
文献类型：
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作者：
BYAR, DP
在临床试验的背景下，当患者的首选治疗取决于其协变量时，会发生定性治疗-协变量相互作用。在本文中，我回顾了各种相互作用的性质和解释，比较了使用总体检验进行相互作用的子集分析，提出了一些在实际随机临床试验中出现的明显治疗协变量相互作用的例子，并讨论了其他人最近的一些工作，涉及显著性检验，估计和评估明显的治疗协变量相互作用。
In the context of clinical trials, a qualitative treatment—covariate interaction occurs when a patient's preferred treatment depends on his covariates. In this paper I review the nature and interpretation of various kinds of interactions, compare the use of overall tests for interaction to subset analysis, present some examples of apparent treatment‐covariate interactions that have arisen in actual randomized clinical trials, and discuss some recent work by others related to significance testing, estimation and assessment of apparent treatment—covariate interactions.