Inference on treatment-covariate interaction based on a nonparametric measure of treatment effects and censored survival data

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• 作者：Shan Jiang ; Bingshu Chen and Dongshengn Tu
• 刊名：Statistics in Medicine
• 出版年：2016
• 出版时间：20 July 2016
• 年：2016
• 卷：35
• 期：16
• 页码：2715-2725
• 全文大小：698K
• ISSN：1097-0258

文摘

The investigation of the treatment-covariate interaction is of considerable interest in the design and analysis of clinical trials. With potentially censored data observed, non-parametric and semi-parametric estimates and associated confidence intervals are proposed in this paper to quantify the interactions between the treatment and a binary covariate. In addition, comparison of interactions between the treatment and two covariates are also considered. The proposed approaches are evaluated and compared by Monte Carlo simulations and applied to a real data set from a cancer clinical trial. Copyright