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	Provedor de dados AgEcon (4) Autor Royston, Patrick (4) Palavra-chave Multiple imputation (4) Research Methods/ Statistical Methods (4) Uvis (4) Ice (3) Micombine (3) Mijoin (2) Misplit (2) Missing at random (2) Missing data (2) Multivariate imputation (2) Mvis (2) Regression modeling (2) Censored survival data (1) Ice_reformat (1) Interval censoring (1) Missing values (1) Update (1) Visualization (1) Mais... Tipo do documento Journal Article (3) Article (1) Ano 2007 (1) 2005 (2) 2004 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 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: further update of ice, with an emphasis on interval censoring AgEcon Royston, Patrick. Multiple imputation of missing data continues to be a topic of considerable interest and importance to applied researchers. In this article, the ice package for multiple imputation is further updated. Special attention in this article is paid to imputing interval-censored observations, and a suggestion to use imputation of right-censored survival data to elucidate covariate effects graphically. Tipo: Article Palavras-chave: Ice; Uvis; Micombine; Ice_reformat; Multiple imputation; Interval censoring; Visualization; Censored survival data; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119290 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 Multiple imputation of missing values: Update of ice AgEcon Royston, Patrick. 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,... Tipo: Journal Article Palavras-chave: Ice; Uvis; Multiple imputation; Missing values; Update; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117543 Registros recuperados: 4 Primeira ... 1 ... Última

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