Standardizing Discrete-Time Hazard Ratios With a Disease Risk Score.
Standardizing Discrete-Time Hazard Ratios With a Disease Risk Score.
复制标题
使用疾病风险评分标准化离散时间风险比。
DOI：
10.1093/aje/kwaa061
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发表时间：
2020
影响因子：
5
通讯作者：
Cole,StephenR
中科院分区：
文献类型：
--
作者：
Richardson,DavidB;Keil,AlexanderP;Edwards,JessieK;Kinlaw,AlanC;Cole,StephenR
疾病风险评分（DRS）是一种汇总评分，是潜在的大型协变量集的函数。DRS可用于控制参与DRS估计的协变量的混杂，并获得暴露对疾病影响的标准化估计值。然而，迄今为止，关于DRS的文献尚未涉及侧重于估计生存或风险函数的分析，这在队列数据的流行病学分析中很常见。在这里，我们提出了一种方法，用于标准化的风险比，使用DRS在纵向分析的二元暴露和结果之间的关联。这种通过基于模型的标准化方法处理潜在的大量协变量的方法可以为风险比的队列分析提供有用的工具，并且可能特别适合于难以建模暴露倾向评分的设置。本文使用模拟来说明这种方法，并提供了一个经验的例子。
The disease risk score (DRS) is a summary score that is a function of a potentially large set of covariates. The DRS can be used to control for confounding by the covariates that went into estimation of the DRS and obtain a standardized estimate of an exposure’s effect on disease. However, to date, literature on the DRS has not addressed analyses that focus on estimation of survival or hazard functions, which are common in epidemiologic analyses of cohort data. Here, we propose a method for standardization of hazard ratios using the DRS in longitudinal analyses of the association between a binary exposure and an outcome. This approach to handling a potentially large set of covariates through a model-based approach to standardization may provide a useful tool for cohort analyses of hazard ratios and may be particularly well-suited to settings where an exposure propensity score is difficult to model. Simulations are used in this paper to illustrate the approach, and an empirical example is provided.