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Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring
Provedor de dados: 31
Autores: 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