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.
International journal of epidemiology 44(5), 1731–1737 (2015)
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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.