Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring
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.
Cancer and Statistical Methodology Groups
MRC Clinical Trials Unit
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ice, uvis, micombine, ice_reformat, multiple imputation, interval censoring, visualization, censored survival data
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