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 is dedicated to discussion and possibly "live" analysis of some participants' data.
The target audience for this course is researchers needing to analyse incomplete data:
- Attendees are expected to be familiar with running Stata from the command line (i.e. not using menus) at least to the level of fitting a regression model to complete data and producing simple graph
- No prior knowledge of multiple imputation is assumed.
- Participants should bring their own laptop with Stata 12 or newer installed.
- Participants without Stata should contact the course administrator and we will aim to provide a temporary copy.
Fees
The course fees cover copies of the course lectures and practicals, lunch and tea/coffee. Participants are advised to arrange their own travel and accommodation.
UCL Staff/Students | £200 |
Non-UCL Students | £200 |
Public sector | £360 |
Commercial/Industry | £360 |
Faculty
- Ian White, MRC Clinical Trials Unit at UCL
- Angela Wood, University of Cambridge
- Tim Morris, MRC Clinical Trials Unit at UCL
0 Response to Course: Practical use of multiple imputation to handle missing data in Stata. London, 25–26 Feb 2020
Post a Comment