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 by chained equations (also known as fully conditional specification) is further updated. Special attention is paid to categorical variables. The relationship between ice and the new multiple-imputation system in Stata 11 is clarified.
CarlinJ. B., GalatiJ. C., and RoystonP.2008. A new framework for managing and analyzing multiply imputed data in Stata. Stata Journal8: 49–67.
2.
FineP. E. M., PönnighausJ. M., MaineN., ClarksonJ. A., and BlissL.1986. Protective efficacy of BCG against leprosy in northern Malawi. Lancetii: 499–502.
3.
PönnighausJ. M., FineP. E. M., SterneJ. A. C., WilsonR. J., MsosaE., GruerP. J. K., JenkinsP. A., LucasS. B., LiombaG., and BlissL.1992. Efficacy of BCG vaccine against leprosy and tuberculosis in Northern Malawi. Lancet339: 636–639.
4.
RoystonP.2004. Multiple imputation of missing values. Stata Journal4: 227–241.
5.
RoystonP.2005a. Multiple imputation of missing values: Update. Stata Journal5: 188–201.
6.
RoystonP.2005b. Multiple imputation of missing values: Update of ice. Stata Journal5: 527–536.
7.
RoystonP.2007. Multiple imputation of missing values: Further update of ice, with an emphasis on interval censoring. Stata Journal7: 445–464.
8.
RoystonP., CarlinJ. B., and WhiteI. R.2009. Multiple imputation of missing values: New features for mim. Stata Journal9: 252–264.
StataCorp.2009. Stata 11 Multiple-Imputation Reference Manual.College Station, TX: Stata Press.
11.
van BuurenS., BoshuizenH. C., and KnookD. L.1999. Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine18: 681–694.
