Asymptotic Results for Multiple Imputation
Imputation and multiple-imputation procedures have been used in practice to handle the problem of ignorable nonresponse in sample surveys. We examine the large-sample properties of these procedures where covariates are available for the case when the complete-data analysis is based on least squares. The results provide a formal justification for the inference procedures discussed by Rubin and Schenker for the location problem and suggest new procedures for the regression problem.
Permanent link to this document: http://projecteuclid.org/euclid.aos/1176351053
Digital Object Identifier: doi:10.1214/aos/1176351053
Mathematical Reviews number (MathSciNet): MR964938
Zentralblatt MATH identifier: 0668.62004