Demystifying optimal dynamic treatment regimes
Demystifying optimal dynamic treatment regimes
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DOI：
10.1111/j.1541-0420.2006.00686.x
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发表时间：
2007-06-01
期刊：
影响因子：
1.9
通讯作者：
Stephens, David A.
中科院分区：
文献类型：
--
作者：
Moodie, Erica E. M.;Richardson, Thomas S.;Stephens, David A.
动态方案是一个函数，它将治疗和协变量历史以及基线协变量作为输入，并返回要做出的决策。Murphy（2003，Journal of the皇家统计学会，系列B 65，331-366）和Robins（2004，Proceedings of the Second西雅图Symposium on Biostatistics. 189326）已经提出了模型并开发了用于在多间隔试验中推断最优方案的半参数方法，其提供了优于传统参数方法的明显优势。我们表明，墨菲的模型是一个特殊的情况下，罗宾斯的方法是密切相关的，但不等同。使用多中心艾滋病队列研究，并通过模拟突出有趣的功能的方法。
A dynamic regime is a function that takes treatment and covariate history and baseline covariates as inputs and returns a decision to be made. Murphy (2003, Journal of the Royal Statistical Society, Series B 65, 331-366) and Robins (2004, Proceedings of the Second Seattle Symposium on Biostatistics. 189326) have proposed models and developed serniparametric methods for making inference about the optimal regime in a multi-interval trial that provide clear advantages over traditional parametric approaches. We show that Murphy's model is a special case of Robins's and that the methods are closely related but not equivalent. Interesting features of the methods are highlighted using the Multicenter AIDS Cohort Study and through simulation.