Marginal Structural Models for Life-Course Theories and Social Epidemiology: Definitions, Sources of Bias, and Simulated Illustrations

• Published in: American journal of epidemiology Vol. 191; no. 2; pp. 349 - 359
• Main Authors: Gilsanz, Paola, Young, Jessica G, Glymour, M Maria, Tchetgen Tchetgen, Eric J, Eng, Chloe W, Koenen, Karestan C, Kubzansky, Laura D
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 24.01.2022; Oxford Publishing Limited (England)
• Subjects: Bias; Causality; Computer Simulation; Data Interpretation, Statistical; Depression - epidemiology; Depression - etiology; Epidemiology; Health risks; Humans; Mathematical models; Mimicry; Missing data; Models, Structural; Models, Theoretical; Practice of Epidemiology; Regression analysis; Regression models; Risk analysis; Risk Factors; Social conditions; Statistical analysis; Stroke - psychology; Structural models; social epidemiology; confounding; simulation; bias; marginal structural models; inverse probability weighting; life course

Abstract Social epidemiology aims to identify social structural risk factors, thus informing targets and timing of interventions. Ascertaining which interventions will be most effective and when they should be implemented is challenging because social conditions vary across the life course and are s...