Inferences for Two-Stage Multiple Imputation for Nonresponse
نویسندگان
چکیده
Multiple imputation is a common approach for handling missing data. It allows users to make valid inferences using standard complete-data methods with simple combining rules. A variation is to partition the missing data into two portions and conduct the imputation in two stages. We review two-stage multiple imputation and existing inferential methods and derive an alternative reference F -distribution for large sample hypothesis testing for high-dimensional estimands. We also derive formulas for estimating rates of missing information.
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