Data/hora: 09/06/2024 05:20:40

Provedor de dados: 	31	
País: 	United States	
Título: 	Multiple imputation of missing values: update	
Autores: 	Royston,   Patrick.	
Data: 	2011-11-04	
Ano: 	2005	
Palavras-chave: 	Ice; Mvis; Uvis; Micombine; Mijoin; Misplit; Missing data; Missing at random; Multiple imputation; Multivariate imputation; Regression modeling; Research Methods/ Statistical Methods.	
Resumo: 	This article describes a substantial update to mvis, which brings it more closely in line with the feature set of S. van Buuren and C. G. M. Oudshoorn’s implementation of the MICE system in R and S-PLUS (for details, see http://www.multiple-imputation.com). To make a clear distinction from mvis, the principal program of the new Stata release is called ice. I will give details of how to use the new features and a practical illustrative example using real data. All the facilities of mvis are retained by ice. Some improvements to micombine for computing estimates from multiply imputed datasets are also described.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	st0067_1

http://purl.umn.edu/117511	
Relação: 	Stata Journal&gt;Volume 5, Number 2, 2nd Quarter 2005	
Formato: 	14