Multiple imputation for nonignorable missing data
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DOI: 10.1016/j.jkss.2017.05.001
Abstract: Multiple imputation is a popular technique for analyzing incomplete data. Missing at random mechanism is often assumed when multiple imputation is performed, assuming that the response mechanism does not depend on the missing variable. However,… read more here.
Keywords: respondents outcome; imputation; response; multiple imputation ... See more keywords