Multiple Imputation for Missing Data
Date:
11/05/2027 - 13/05/2027
Organised by:
University of Bristol Medical School Online Short Course Programme
Presenter(s):
Dr Rosie Cornish and Dr Elinor Curnow
Level:
Intermediate (some prior knowledge)
Contact:
Bristol Medical School Short Course Programme
University of Bristol
short-course@bristol.ac.uk
+ 44 117 455 5987
www.bristol.ac.uk/medical-school-short-courses
Venue: Online
Missing data are almost inevitable in medical research. This leads to a loss of power and potential bias. Multiple imputation is a widely-used and flexible approach for handling missing data.
This course aims to provide a theoretical and practical introduction to multiple imputation methods for dealing with missing data in straightforward situations.
This course will cover:
- an introduction to the problems caused by missing data, including when a complete case analysis is likely to result in bias;
- an introduction to multiple imputation;
- practical sessions performing multiple imputation, including interactions and non-linear associations as well as simple diagnostic checks; and
- a practical session on how to present multiple imputation methods and results in journal articles.
Cost:
£750
Website and registration:
Region:
South West
Keywords:
Simulation , multiple imputation, missing data
Related publications and presentations from our eprints archive: