10 June 2012
Multiple imputation of missing data with Stata®
To provide a practical overview of methods to estimate missing data. The course will introduce the basics of multiple imputation, in particular imputation by chained equations. By the end of this one day course, participants should be capable to analyse data by multiple imputation in Stata. Students should have a background in linear regression methods prior to taking this course.
R. Bellocco (Karolinska Institutet and University of Milano-Bicocca)
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest.
The course introduces the basics of multiple imputation, in particular imputation by chained equations. Students should have a background in linear regression methods prior to taking this course.
EUR 400: Students attending summer school courses during the week receive a discounted fee of €250 per course.