Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment
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DOI: 10.1080/00949655.2017.1288233
Abstract: ABSTRACT Multiple imputation (MI) is an increasingly popular method for analysing incomplete multivariate data sets. One of the most crucial assumptions of this method relates to mechanism leading to missing data. Distinctness is typically assumed,… read more here.
Keywords: multiple imputation; non ignorability; simulation; non distinctness ... See more keywords