Case-control studies: Increasing scientific rigor in control selection.
Case-control studies: Increasing scientific rigor in control selection.
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DOI：
10.1016/j.rpth.2023.100090
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发表时间：
2023-02
影响因子：
4.6
通讯作者：
Lutsey, Pamela L.
中科院分区：
文献类型：
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作者：
Lutsey, Pamela L.
病例对照设计是一种观察性研究设计，其中研究团队识别患病个体（即病例）和未患病个体（即对照），然后比较两组之间的暴露患病率。在设计病例对照研究时需要有先见之明。在选择控件时尤其如此。本教程简要回顾了病例对照设计，讨论了不良病例对照研究设计的场景，重点是对照选择，并提供了正确选择对照的提示。优化对照选择以最大化因果推断将增加血液学病例对照研究的科学严谨性。在病例对照研究中，根据疾病状态选择病例。病例和对照应代表相同的来源人群。对照组提供关于源人群中暴露分布的信息。优化控制选择以最大化因果推理将增加科学的严谨性。
The case-control design is an observational study design in which the investigative team identifies individuals with disease (ie, cases) and individuals without disease (ie, controls) and then compares the prevalence of an exposure between the 2 groups. Forethought is needed while designing case-control studies. This is particularly true when selecting controls. This tutorial briefly reviews the case-control design, discusses scenarios of poor case-control study design with an emphasis on control selection, and provides tips for proper control selection. Optimizing control selection to maximize causal inference will increase the scientific rigor of hematologic case-control studies. In a case-control study, cases are selected on the basis of their disease status. Cases and controls should represent the same source population. The control group provides information about the exposure distribution in the source population. Optimizing control selection to maximize causal inference will increase scientific rigor.
影响因子：
13.6
作者：
Ahlbom A
通讯作者：
Ahlbom A