Multiple Imputation in Stata: Recommended Readings
This article is part of the Multiple Imputation in Stata series. For a list of topics covered by this series, see the Introduction.
Multiple Imputation is an ongoing research area, so be sure to pay attention to when papers on the topic were published. You'll find that advice in some areas changes, and older discussions of software are often completely out-of-date. You'll also need to keep current on the topic. That said, here is what we'd suggest reading to learn more about multiple imputation:
- White, Royston, and Wood. "Multiple imputation using chained equations: Issues and guidance for practice." Statistics in Medicine. 2011
- Stata MI Documentation. Type "help mi" in Stata, click on the link at the top.
- UCLA Statistical Computing Seminars. "Multiple Imputation in Stata."
- Van Buuren, "Multiple imputation of discrete and continuous data by fully conditional specification." Statistical Methods in Medical Research, 2007
- Van Buuren, Brand, Groothuis-Oudshoorn, and Rubin. "Fully conditional specification in multivariate imputation." Journal of Statistical Computation and Simulation. 2006
- Paul Allison. "Missing Data." Sage University Papers Series: Quantitative Applications in the Social Sciences. 2001 Joseph Shafer.
- White, Royston, and Wood. "Multiple imputation using chained equations: Issues and guidance for practice." Statistics in Medicine. 2011 Yes, read it again.
- Any of the references in the Stata MI Documentation
- Any useful article published since this list was made (tell us about it!)
Note that some of these links will only work if you are connected to the UW-Madison network.
Last Revised: 10/12/2012