Date(s) - 03/18/2021 - 03/20/2021
10:00 am - 5:00 pm
This seminar is an introduction to marginal structural models (MSMs) from both a theoretical and applied standpoint. Marginal structural models (typically fit with inverse probability weights) are increasingly used for causal inference in observational data.
Such approaches are essential to the analysis of longitudinal data with time-varying treatments and confounders. They can yield correct estimates even when traditional methods (such as a time-dependent Cox proportional hazards model) would produce a biased result. The class format will be a mix of didactic lecture, interactive “journal club”, and in-class programming exercises.
The fee of $895 includes all course materials.
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