swMATH ID: 24700
Software Authors: Patrick Royston, Ian R. White
Description: Multiple Imputation by Chained Equations (MICE): Implementation in Stata. Missing data are a common occurrence in real datasets. For epidemiological and prognostic factors studies in medicine, multiple imputation is becoming the standard route to estimating models with missing covariate data under a missing-at-random assumption. We describe ice, an implementation in Stata of the MICE approach to multiple imputation. Real data from an observational study in ovarian cancer are used to illustrate the most important of the many options available with ice. We remark briefly on the new database architecture and procedures for multiple imputation introduced in releases 11 and 12 of Stata.
Homepage: https://www.jstatsoft.org/article/view/v045i04
Dependencies: Stata
Keywords: Stata Journal; ice system; ado-files; Stata; multiple multivariate imputation; missing values; MICE
Related Software: Stata; MICE; mi; SAS; R; IVEware; Amelia; SAS/STAT; Hmisc; SPSS; norm; inorm; S-PLUS; LogXact; MIDAS; pan; REALCOM; cat; mix; WinMICE
Referenced in: 7 Publications

Standard Articles

2 Publications describing the Software Year

Referencing Publications by Year