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- W47341234 abstract "Throughout the last couple of years multiple imputation (MI) has become a popular and widely accepted method to address the missing data problem. However, MI solutions for incomplete count data are still not available in most statistical packages. We present count data imputation add-ons for the popular mice software in R (vanBuuren & Groothuis-Oudshoorn, 2011). Our add-on functions allow to create multiple imputations of incomplete ordinary and overdispersed count data following the chained equations approach of creating multiple imputations (cf. Raghunathan, Lepkowski, van Hoewyk, & Solenberger, 2001; van Buuren & Groothuis-Oudshoorn, 2011). We furthermore present evaluations of these solutions regarding their ability to produce unbiased parameter estimates and standard errors as well as their ability to cope with missing not at random mechanisms." @default.
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- W47341234 date "2011-01-01" @default.
- W47341234 modified "2023-09-27" @default.
- W47341234 title "Multiple imputation of incomplete ordinary and overdispersed count data" @default.
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