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
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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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Patrick Royston
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ice, uvis, micombine, ice_reformat, multiple imputation, interval censoring, visualization, censored survival data
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