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Provedor de dados:  AgEcon
País:  United States
Título:  Multiple imputation of missing values: Update of ice
Autores:  Royston, Patrick
Data:  2011-11-04
Ano:  2005
Palavras-chave:  Ice
Uvis
Multiple imputation
Missing values
Update
Research Methods/ Statistical Methods
Resumo:  Royston (2004) introduced mvis, an implementation for Stata of MICE, a method of multiple multivariate imputation of missing values under missing-at-random (MAR) assumptions. In a second article, Royston (2005) described ice, an upgrade incorporating various improvements and changes to the software based on personal experience, discussion with colleagues, and user requests. This article describes an update to ice. The changes are less substantial but nevertheless important enough to warrant a brief explanation. The major modification is that the default method of imputing missing values in ice is now by sampling from the posterior predictive distribution rather than by predicted mean matching. The ice system comprises five ado-files: ice, micombine, mijoin, misplit, and uvis. The last three programs have not been changed and are included in the present release for the sake of completeness.
Tipo:  Journal Article
Idioma:  Inglês
Identificador:  st0067_2

http://purl.umn.edu/117543
Relação:  Stata Journal>Volume 5, Number 4, 4th Quarter 2005
Formato:  10
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