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Multiple imputation with missing data indicators

Statistical Methods in Medical Research, 2021
Lauren J Beesley   +2 more
exaly  

The Performance of Multiple Imputations for Different Number of Imputations

2016
Multiple imputation method is a widely used method in missing data analysis. The method consists of a three-stage process including imputation, analyzing and pooling. The number of imputations to be selected in the imputation step in the first stage is important.
Yilmaz, M. Can   +2 more
openaire   +1 more source

Multiple Imputation

2001
J. Barnard, N. Schenker, D.B. Rubin
openaire   +1 more source

The proportion of missing data should not be used to guide decisions on multiple imputation

Journal of Clinical Epidemiology, 2019
Paul Madley-Dowd   +2 more
exaly  

Multiple imputation using chained equations: Issues and guidance for practice

Statistics in Medicine, 2011
Ian R White   +2 more
exaly  

Multiple Imputation of Missing Data for Multilevel Models

Organizational Research Methods, 2018
Simon Grund   +2 more
exaly  

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