A Marginal Structural Model (MSM) is a statistical approach used primarily in epidemiology and social sciences to estimate causal effects in observational studies when there is time-varying treatment and time-varying confounding. This method is useful when traditional statistical techniques, such as regression models, may provide biased estimates due to confounding factors that also change over time.
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