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

Patrick Royston
Additional contact information
Patrick Royston: Cancer and Statistical Methodology Groups, MRC Clinical Trials Unit

Stata Journal, 2007, vol. 7, issue 4, pages 445-464

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. Copyright 2007 by StataCorp LP.

Keywords: ice; uvis; micombine; ice reformat; multiple imputation; interval censoring; visualization; censored survival data (search for similar items in EconPapers)
Date: 2007

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0067_3 link to article purchase
http://www.stata-journal.com/software/sj7-4/st0067_3/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:tsj:stataj:v:7:y:2007:i:4:p:445-464

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is edited by H. Joseph Newton and Nicholas J. Cox

More articles in Stata Journal from StataCorp LP
Series data maintained by Christopher F. Baum ().