Controlling for Time-dependent Confounding using Marginal Structural Models
Controlling for Time-dependent Confounding using Marginal Structural Models
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time have the potential to allow causal inferences about the effects of exposure on outcome. There is particular interest in estimating the causal effects of medical treatments (or other interventions) in circumstances in which a randomized controlled trial …