Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.
Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.
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DOI：
10.1111/joim.12197
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发表时间：
2014-06
影响因子：
11.1
通讯作者：
Brookhart MA
中科院分区：
文献类型：
--
作者：
Stürmer T;Wyss R;Glynn RJ;Brookhart MA
治疗效果，特别是在比较有效性研究中比较两种或两种以上的治疗方案时，可能会在年龄、性别、合并疾病和联合用药方面表现出异质性。倾向评分(PSS)是控制测量混杂的多变量结果模型的一种替代方法，在存在异质性治疗效果时具有特定的优势。使用匹配或加权实施PSS使我们能够在不同定义的人群中估计不同的总体治疗效果。不同的治疗效果也可能是由于未经测量的混杂集中在那些与预测相反的治疗中。基于PSS的敏感性分析可以帮助评估这种无法测量的混淆。PSS应被视为非实验医学研究的主要或次要分析策略，包括药物流行病学和非实验比较有效性研究。
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative effectiveness research, are likely to be heterogeneous across age, gender, co-morbidities, and co-medications. Propensity scores (PSs), an alternative to multivariable outcome models to control for measured confounding, have specific advantages in the presence of heterogeneous treatment effects. Implementing PSs using matching or weighting allows us to estimate different overall treatment effects in differently defined populations. Heterogeneous treatment effects can also be due to unmeasured confounding concentrated in those treated contrary to prediction. Sensitivity analyses based on PSs can help to assess such unmeasured confounding. PSs should be considered a primary or secondary analytic strategy in non-experimental medical research, including pharmacoepidemiology and non-experimental comparative effectiveness research.
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影响因子：
2.1
作者：
Peters, Charles C.
通讯作者：
Peters, Charles C.
影响因子：
5
作者：
Cole, Stephen R.;Hernan, Miguel A.
通讯作者：
Hernan, Miguel A.
影响因子：
2.6
作者：
Ellis AR;Dusetzina SB;Hansen RA;Gaynes BN;Farley JF;Stürmer T
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Stürmer T
影响因子：
5
作者：
Messer, Lynne C.;Oakes, J. Michael;Mason, Susan
通讯作者：
Mason, Susan
影响因子：
3
作者：
Brookhart MA;Stürmer T;Glynn RJ;Rassen J;Schneeweiss S
通讯作者：
Schneeweiss S