论文信息 - Semi-Parametric Imputation of Panel Surveys

Semi-Parametric Imputation of Panel Surveys

In 2007, Judkins, Krenzke, Piesse, Fan, and Haung reported on the performance of a new semi-parametric imputation algorithm designed to impute entire questionnaires with minimal human supervision while preserving important first- and second-order distributional properties. In a 2008 paper, we reported on procedures for post-imputation variance estimation to be used in conjunction with the semi-parametric imputation algorithm. In this paper, we discuss recent enhancements to handle very large longitudinal datasets for the Mental Health Treatment Study.

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