Multiple Imputation for Model Checking: Completed-Data Plots with Missing and Latent Data
نویسندگان
چکیده
منابع مشابه
Multiple imputation for model checking: completed-data plots with missing and latent data.
In problems with missing or latent data, a standard approach is to first impute the unobserved data, then perform all statistical analyses on the completed dataset--corresponding to the observed data and imputed unobserved data--using standard procedures for complete-data inference. Here, we extend this approach to model checking by demonstrating the advantages of the use of completed-data mode...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2005
ISSN: 0006-341X,1541-0420
DOI: 10.1111/j.0006-341x.2005.031010.x