A one-step outcome imputation estimator is introduced as an alternative to multiple imputation for RCTs with missing data, constructing an efficient estimator via the influence function to achieve asymptotically valid inference.
Review: A gentle introduction to imputation of missing values
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In a case study using EHR data from two health systems, multiple imputation via CART for missing systolic blood pressure and HbA1c values showed that marginal versus conditional imputation affected imputed distributions but had minimal impact on inferences about neighborhood socioeconomic status and
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One-step Outcome Imputation: An Alternative to Multiple Imputation
A one-step outcome imputation estimator is introduced as an alternative to multiple imputation for RCTs with missing data, constructing an efficient estimator via the influence function to achieve asymptotically valid inference.
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Multiple Imputation Diagnostics when using Electronic Health Record Data in Observational Studies: A Case Study
In a case study using EHR data from two health systems, multiple imputation via CART for missing systolic blood pressure and HbA1c values showed that marginal versus conditional imputation affected imputed distributions but had minimal impact on inferences about neighborhood socioeconomic status and