A semiparametric method of multiple imputation
Stuart R. Lipsitz, Lue Ping Zhao, Geert Molenberghs
Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 1998 · Volume 60 · Issue 1
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.
Keywords
Complete cases, Missing at random, Missing data mechanism
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