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Multiple imputation with missing data indicators
Statistical Methods in Medical Research, 2021Lauren J Beesley, Allison W. Kurian
exaly
The Performance of Multiple Imputations for Different Number of Imputations
2016Multiple 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
The proportion of missing data should not be used to guide decisions on multiple imputation
Journal of Clinical Epidemiology, 2019Jon Heron, Kate Tilling, Rachael Hughes
exaly
How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory
Prevention Science, 2007Tamika D Gilreath, John Graham
exaly

