TY - JOUR
AU - Royston, Patrick
AB - The Stata Journal (2005) 5, Number 4, pp. 527{536 Multiple imputation of missing values: Update of ice Patrick Royston Cancer Group MRC Clinical Trials Unit 222 Euston Road London NW1 2DA UK 1 Introduction Royston (2004) introduced mvis, an implementation for Stata of MICE, a method of multiple multivariate imputation of missing values under missing-at-random (MAR) as- sumptions. In a second article, Royston (2005) described ice, an upgrade incorporating various improvements and changes to the software based on personal experience, dis- cussion with colleagues, and user requests. This article describes an update to ice. The changes are less substantial but nevertheless important enough to warrant a brief explanation. The major modi cation is that the default method of imputing missing values in ice is now by sampling from the posterior predictive distribution rather than by predicted mean matching. The ice system comprises ve ado- les: ice, micombine, mijoin, misplit, and uvis. The last three programs have not been changed and are included in the present release for the sake of completeness. 2 Syntax ice mainvarlist using lename if in weight , boot (varlist) cc(ccvarlist) cmd(cmdlist) cycles(#) dryrun eq(eqlist) genmiss(string) id(string) m(#) match (varlist) on(varlist) noconstant noshoweq passive(passivelist) replace seed(#) 
TI - Multiple Imputation of Missing Values: Update of Ice
JF - "Stata Journal, The"
DO - 10.1177/1536867X0500500404
DA - 2005-12-01
UR - https://www.deepdyve.com/lp/sage/multiple-imputation-of-missing-values-update-of-ice-U1sHUPZVz6
SP - 527
EP - 536
VL - 5
IS - 4
DP - DeepDyve
ER -