Practical use of multiple imputation to handle missing data in Stata – Course Details
Our aim in this course is to provide participants with the ability to analyse their own data using multiple imputation, but also to be aware of the pitfalls and limitations of the technique.
We will give plenty of practical examples from our own experience of analysing data in medical research.
We welcome participants bringing their own data and problems, and one session in day 2 is dedicated to “live” analysis of some participants’ data.
A tutorial based on this course has appeared in Statistics in Medicine.
Practical use of multiple imputation to handle missing data in Stata – PDF file containing the course programme and contents.