MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors
In this paper we describe MIDAS: a SAS macro for multiple imputation using distance aided selection of donors which implements an iterative predictive mean matching hot-deck for imputing missing data. This is a flexible multiple imputation approach that can handle data in a variety of formats: conti...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2009-01-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/v29/i09/paper |