Addressing unmeasured confounders in cohort studies: instrumental variable method for a time-fixed exposure on an outcome trajectory

DOI10.1002/BIMJ.202200358zbMATH Open1547.62318MaRDI QIDQ6625413

Thibault Mura, Kateline Le Bourdonnec, Christophe Tzourio, David-Alexandre Trégouët, Cécile Proust-Lima, Aniket Mishra, Cécilia Samieri

Publication date: 28 October 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

instrumental variablecausalitymixed modelcohort studyrepeated data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Longitudinal data analysis using generalized linear models
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Random-Effects Models for Longitudinal Data
• Instrumental variable estimation with the R package \texttt{vtools}
• Instrumental variable additive hazards models
• The Prediction Approach to Robust Variance Estimation in Two-Stage Cluster Sampling
• Statistical Analysis with Missing Data, Third Edition
• Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies
• Binary outcomes, OLS, 2SLS and IV probit
• Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective
• An instrumental variable procedure for estimating Cox models with non-proportional hazards in the presence of unmeasured confounding

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