A semiparametric method of multiple imputation

Stuart R. Lipsitz, Lue Ping Zhao and Geert Molenberghs

Journal of the Royal Statistical Society Series B, 1998, vol. 60, issue 1, 127-144

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.

Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssb:v:60:y:1998:i:1:p:127-144

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