Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations

• Published in: Biometrics Vol. 80; no. 3
• Main Authors: Coulombe, Janie, Yang, Shu
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.07.2024
• Subjects: Adolescent; Alcohol Drinking; Biometric Methodology; Biometry - methods; Causality; Computer Simulation; Data Interpretation, Statistical; Electronic Health Records - statistics & numerical data; Humans; Models, Statistical; Observational Studies as Topic - statistics & numerical data; United States; United States; robustness to model misspecification; confounding; efficiency; average treatment effect; irregular visits

Electronic health records and other sources of observational data are increasingly used for drawing causal inferences. The estimation of a causal effect using these data not meant for research purposes is subject to confounding and irregularly-spaced covariate-driven observation times affecting the...