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The Stata Journal
Volume 7 Number 4: pp. 445-464

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Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring

Patrick Royston
Cancer and Statistical Methodology Groups
MRC Clinical Trials Unit
London UK
Abstract.   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.
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View all articles with these keywords: ice, uvis, micombine, ice_reformat, multiple imputation, interval censoring, visualization, censored survival data

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