离散结果的高维度变量选择个性化治疗规则:降低抑郁症状的严重程度。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Erica E M Moodie, Zeyu Bian, Janie Coulombe, Yi Lian, Archer Y Yang, Susan M Shortreed
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引用次数: 0

摘要

尽管人们对评估个体化治疗规则越来越感兴趣,但很少关注二元结果设置。非线性链接函数的估计具有挑战性,尤其是在需要变量选择的情况下。在抑郁症治疗的案例研究中,我们使用一种新的计算方法来求解最近提出的双鲁棒正则化估计方程,以完成这项艰巨的任务。我们展示了这种新方法与加权和惩罚估计方程相结合在这种具有挑战性的二元结果设置中的应用。我们证明了该方法的双重稳健性及其对变量选择的有效性。这项工作的动机是利用在华盛顿凯撒永久医院接受治疗的患者群体对单极性抑郁症的治疗进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms.

Despite growing interest in estimating individualized treatment rules, little attention has been given the binary outcome setting. Estimation is challenging with nonlinear link functions, especially when variable selection is needed. We use a new computational approach to solve a recently proposed doubly robust regularized estimating equation to accomplish this difficult task in a case study of depression treatment. We demonstrate an application of this new approach in combination with a weighted and penalized estimating equation to this challenging binary outcome setting. We demonstrate the double robustness of the method and its effectiveness for variable selection. The work is motivated by and applied to an analysis of treatment for unipolar depression using a population of patients treated at Kaiser Permanente Washington.

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来源期刊
Accounts of Chemical Research
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.
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