Multiple imputation

Stata provides a full suite of multiple-imputation methods for analyzing incomplete data, including support for imputing missing data and analyzing multiply imputed data. Stata also uniquely provides complete support for data management and verification of multiply imputed data.

Overview of multiple-imputation features in Stata

List of multiple-imputation features

Announcement of multiple-imputation features in the Stata News (2009, see page 2) (2011, see page 6)

Spotlight on multiple-imputation features from the Stata News (see page 2)

Stata has a complete 365-page reference manual about performing multiple imputation. Read an overview of multiple imputation with examples from that manual:

Introduction to multiple-imputation analysis

Introduction to mi

See Stata’s dialog box for MI

Public training course on multiple imputation

FAQ about accounting for clustering when creating imputations with mi impute

FAQ “How can I combine results other than coefficients in e(b) with multiply imputed data?”

Stata Journal articles

“Improved degrees of freedom for multivariate significance tests obtained from multiply imputed, small-sample data” by Yulia V. Marchenko and Jerome P. Reiter (abstract)

“Multiple imputation: Further update of ice, with an emphasis on categorical variables” by Patrick Royston (abstract)

“Multiple imputation of missing values: New features for mim” by John B. Carlin, Patrick Royston, and Ian R. White (abstract)

“A new framework for managing and analyzing multiply imputed data in Stata” by John B. Carlin, John C. Galati, and Patrick Royston (abstract)

“Multiple imputation of missing values: Further update of ice, with an emphasis on interval censoring” by Patrick Royston (abstract)

“Multiple imputation of missing values: Update of ice” by Patrick Royston (abstract)

“Multiple imputation of missing values: Update” by Patrick Royston (abstract)

“Multiple imputation of missing values” by Patrick Royston (abstract)

Stata is also a complete integrated statistical package that provides everything you need for data analysis, data management, and graphics. To learn more, click here.