MIM generates synthetic datasets via multiple imputation to average predictions from a parametric outcome model over the target covariate distribution, providing marginal effect estimates with proper uncertainty quantification.
American Journal of Epidemiology 192(9), 1536–1544 (2023)
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Model-based standardization using multiple imputation
MIM generates synthetic datasets via multiple imputation to average predictions from a parametric outcome model over the target covariate distribution, providing marginal effect estimates with proper uncertainty quantification.