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Marginal Structural Model

A marginal structural model is a causal modeling framework designed to estimate the effect of a time-varying treatment in the presence of time-varying confounders that are themselves affected by prior treatment. By reweighting observations with inverse probability of treatment weights, MSMs create a pseudo-population in which confounding is eliminated, enabling unbiased estimation of causal treatment contrasts even when standard regression adjustments would fail.

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Marginal Structural Model with Inverse Probability of Treatment Weighting

Taxonomisk metodpost · regression-model / causal-inference

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