Longitudinal mediation analysis based on Mendelian randomization

ZHU Xuezhi; ZHANG Hong

doi:10.13471/j.cnki.acta.snus.2022A085

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Longitudinal mediation analysis based on Mendelian randomization

Research articles | 更新时间：2023-12-08

- Longitudinal mediation analysis based on Mendelian randomization
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 62, Issue 6, Pages: 159-170(2023)
- 作者机构：
  
  中国科学技术大学管理学院，安徽合肥 230026
- 作者简介：
  
  ZHU Xuezhi（xyz19z@mail.ustc.edu.cn）
  ZHANG Hong（zhangh@ustc.edu.cn）
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2022A085
  CLC： O212.1
- Published：25 November 2023，
  
  Published Online：26 September 2023，
  
  Received：28 September 2022，
  
  Accepted：14 April 2023
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朱学智,张洪.基于孟德尔随机化方法的纵向中介分析[J].中山大学学报(自然科学版),2023,62(06):159-170.

ZHU Xuezhi,ZHANG Hong.Longitudinal mediation analysis based on Mendelian randomization[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2023,62(06):159-170.
朱学智,张洪.基于孟德尔随机化方法的纵向中介分析[J].中山大学学报(自然科学版),2023,62(06):159-170. DOI： 10.13471/j.cnki.acta.snus.2022A085.

ZHU Xuezhi,ZHANG Hong.Longitudinal mediation analysis based on Mendelian randomization[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2023,62(06):159-170. DOI： 10.13471/j.cnki.acta.snus.2022A085.

摘要

工具变量法广泛应用于中介分析，能够有效避免传统因果推断方法面临的难题，即由于未观测到的混淆因素和逆向因果造成的对因果效应的估计偏差. 现有的工具变量方法大多服务于横断面研究，但纵向数据相较于截面数据能更好地反映因果路径。现有的文献中没有针对纵向中介分析的工具变量方法. 为此本文开发了一种新的工具变量法用来估计纵向中介效应，同时建立了新方法的大样本性质，包括相合性和渐近正态性. 另外，一系列模拟研究的结果展示了新方法的有限样本性质.

Abstract

Instrumental variables(IVs) are widely used in mediation analysis to effectively reduce causal effect bias due to unobserved confounding factors and reverse causal direction that cannot be handled with conventional causal inference methods. Most IV methods in the literature are designed for cross-sectional studies. Longitudinal data can better reflect causal paths than cross-sectional data

which provides observations of individual patterns of changes and measurements of event duration. To our knowledge

there is no IV method specifically tailored for longitudinal mediation analysis in the literature. A new IV method is proposed to estimate longitudinal mediation effects. Large sample properties

including consistency and asymptotic normality

are established for the new IV method. Simulation studies are provided to demonstrate the desired finite sample properties of the new method.

关键词

因果推断孟德尔随机化中介分析纵向数据

Keywords

causal inferenceMendelian randomizationmediation analysislongitudinal data

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