Optimal matching approaches in health policy evaluations under rolling enrolment
Optimal matching approaches in health policy evaluations under rolling enrolment
复制标题
滚动招生下卫生政策评估的最优匹配方法
DOI：
10.1111/rssa.12521
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Jiaqi Li
中科院分区：
文献类型：
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作者：
Samuel D. Pimentel;L. V. Forrow;Jonathan E. Gellar;Jiaqi Li
比较组的选择对于卫生政策评估至关重要，因为随机化很少是可行的。滚动登记在这些评价中很常见，这给比较组的选择和推断带来了挑战。基于时间不可知论的概念，我们提出了一个新的框架GroupMatch，用于滚动注册下的对比组选择：两个结果轨迹相似但注册周期不同的受试者在预测上可能更相似，如果匹配，可能会产生更好的推理，而不是两个注册周期相同但注册前轨迹不同的受试者。我们阐明了这个框架的概念优势，并在一项模拟研究中展示了它的有效性，并将其应用于研究FLOW对联邦医疗保险优势患者的影响。
Comparison group selection is paramount for health policy evaluations, where randomization is seldom practicable. Rolling enrolment is common in these evaluations, introducing challenges for comparison group selection and inference. We propose a novel framework, GroupMatch, for comparison group selection under rolling enrolment, founded on the notion of time agnosticism: two subjects with similar outcome trajectories but different enrolment periods may be more prognostically similar and produce better inference if matched, than two subjects with the same enrolment period but different pre‐enrolment trajectories. We articulate the conceptual advantages of this framework and demonstrate its efficacy in a simulation study and in an application to a study of the effect of falls in Medicare Advantage patients.
DOI：
10.1214/09-sts313
发表时间：
2010-02-01
期刊：
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子：
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作者：
Stuart EA
通讯作者：
Stuart EA