Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures.

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-05-22 eCollection Date: 2023-08-01 DOI:10.1093/jrsssc/qlad037

Yuan Zhang, David M Vock, Megan E Patrick, Lizbeth H Finestack, Thomas A Murray

引用次数: 0

Abstract

In recent sequential multiple assignment randomized trials, outcomes were assessed multiple times to evaluate longer-term impacts of the dynamic treatment regimes (DTRs). Q-learning requires a scalar response to identify the optimal DTR. Inverse probability weighting may be used to estimate the optimal outcome trajectory, but it is inefficient, susceptible to model mis-specification, and unable to characterize how treatment effects manifest over time. We propose modified Q-learning with generalized estimating equations to address these limitations and apply it to the M-bridge trial, which evaluates adaptive interventions to prevent problematic drinking among college freshmen. Simulation studies demonstrate our proposed method improves efficiency and robustness.

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重复测量最佳动态治疗方案的结果轨迹估计。

在最近的连续多次分配随机试验中，对结果进行了多次评估，以评价动态治疗方案（DTR）的长期影响。Q-learning 需要一个标量响应来确定最佳 DTR。反概率加权法可用来估计最佳结果轨迹，但效率低，易受模型错误规范的影响，且无法描述治疗效果如何随时间推移而显现。针对这些局限性，我们提出了使用广义估计方程的修正 Q-learning 方法，并将其应用于 M 桥试验，该试验评估了预防大学新生问题性饮酒的适应性干预措施。模拟研究表明，我们提出的方法提高了效率和稳健性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.