Data/hora: 16/06/2024 06:25:45

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