| 梁洁,和思敏,陈淑婷,王彤.纵向研究中控制时依混杂的G方法[J].中华流行病学杂志,2021,42(10):1871-1875 |
| 纵向研究中控制时依混杂的G方法 |
| G methods for handling time-varying confounding in the longitudinal study |
| 收稿日期:2020-07-31 出版日期:2021-10-23 |
| DOI：10.3760/cma.j.cn112338-20200731-01001 |
| 中文关键词: 时依混杂 参数g-formula 逆概率加权 G估计 |
| 英文关键词: Time-varying confounding Parametric g-formula Inverse probability of weighting G-estimation |
| 基金项目:国家自然科学基金（81872715） |
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| 摘要点击次数: 3912 |
| 全文下载次数: 2021 |
| 中文摘要: |
| 传统分析方法不能有效地控制纵向研究中的时依混杂以得到无偏因果效应估计值。本研究解释了纵向研究中正确控制时依混杂的必要性，概述了现有控制时依混杂的G方法——参数g-formula、逆概率加权和G估计，并通过比较它们的优缺点和适用情况，为研究者在纵向研究中估计因果效应提供参考。 |
| 英文摘要: |
| The conventional analytical methods cannot effectively adjust for time-varying confounding that occur in a longitudinal study and thus cannot correctly estimate the causal effects. This study explains the necessity of precisely controlling time-varying confounding and outlines G methods, including parametric g-formula, inverse probability of weighting, and G-estimation. We also compare the methods above to provide a reference for correctly estimating causal effects in the longitudinal study. |
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