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	Provedor de dados AgEcon (2) Autor Royston, Patrick (2) Palavra-chave Micombine (2) Mijoin (2) Misplit (2) Missing at random (2) Missing data (2) Multiple imputation (2) Multivariate imputation (2) Mvis (2) Regression modeling (2) Research Methods/ Statistical Methods (2) Uvis (2) Ice (1) Mais... Tipo do documento Journal Article (2) Ano 2005 (1) 2004 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Multiple imputation of missing values AgEcon Royston, Patrick. Following the seminal publications of Rubin about thirty years ago, statisticians have become increasingly aware of the inadequacy of “complete-case” analysis of datasets with missing observations. In medicine, for example, observations may be missing in a sporadic way for different covariates, and a complete-case analysis may omit as many as half of the available cases. Hotdeck imputation was implemented in Stata in 1999 by Mander and Clayton. However, this technique may perform poorly when many rows of data have at least one missing value. This article describes an implementation for Stata of the MICE method of multiple multivariate imputation described by van Buuren, Boshuizen, and Knook (1999). MICE stands for multivariate imputation by chained... Tipo: Journal Article Palavras-chave: Mvis; Uvis; Micombine; Mijoin; Misplit; Missing data; Missing at random; Multiple imputation; Multivariate imputation; Regression modeling; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116244 Multiple imputation of missing values: update AgEcon Royston, Patrick. 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 Palavras-chave: Ice; Mvis; Uvis; Micombine; Mijoin; Misplit; Missing data; Missing at random; Multiple imputation; Multivariate imputation; Regression modeling; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117511 Registros recuperados: 2 Primeira ... 1 ... Última

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