倾向性评分与孟德尔随机化国内研究现状

和思敏; 张雨; 彭刘庆; 景佳蕊; 陈淑婷; 王文杰; 高绒绒; 高雪; 高倩; 王彤

doi:10.16462/j.cnki.zhjbkz.2022.03.014

倾向性评分与孟德尔随机化国内研究现状

doi: 10.16462/j.cnki.zhjbkz.2022.03.014

030001 太原，山西医科大学公共卫生学院卫生统计学教研室

基金项目:

国家自然科学基金 81872715

国家自然科学基金 82073674

详细信息

通讯作者:
王彤，E-mail: tongwang@sxmu.edu.cn

中图分类号: R181.2
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- 被引次数: 0
出版历程
- 收稿日期: 2021-06-04
- 修回日期: 2021-08-25
- 网络出版日期: 2022-03-17
- 刊出日期: 2022-03-10

Research progress of propensity score and Mendelian randomization in China

Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China

Funds:

National Natural Science Foundation of China 81872715

National Natural Science Foundation of China 82073674

More Information

Corresponding author: WANG Tong, E-mail: tongwang@sxmu.edu.cn

摘要

摘要: 混杂偏倚是非随机化研究中偏倚一类的重要来源，对混杂因素的控制是研究中获得可靠结果的保证。本文简要介绍了在非随机化研究中常用的两类混杂控制方法——倾向性评分和孟德尔随机化，并对近年来国内相关研究现状进行综述，为倾向性评分匹配和孟德尔随机化的应用提供建议。
- 倾向性评分 /
- 孟德尔随机化 /
- 混杂控制
Abstract: Confounding bias is a common source of bias in non-randomized studies, and the control of confounding factors is an important guarantee for reliable results. In this article, we briefly introduce two types of commonly used methods on confounding control: propensity scoring and Mendelian randomization. We reviewed the current research in recent years in China, with a view to provide recommendations for propensity score and Mendelian randomization research applications.
- Propensity score /
- Mendelian randomization /
- Confounding control

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参考文献(31)

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