A semiparametric method of multiple imputation
Abstract:In this paper, we describe how to use multiple imputation semiparametrically to obtain estimates of parameters and their standard errors when some individuals have missing data. The methods given require the investigator to know or be able to estimate the process generating the missing data but requires no full distributional form for the data. The method is especially useful for non-standard problems, such as estimating the median when data are missing.
Document Type: Original Article
Affiliations: 1: Harvard School of Public Health and Dana Farber Cancer Institute, Boston, USA, 2: Fred Hutchinson Cancer Research Center, Seattle, USA, 3: Limburgs Universitair Centrum, Diepenbeek, Belgium
Publication date: January 1, 1998