Missing Data using Multiple Imputation 9-10th Feb 2009

9th – 10th February 2009

Statistical Modelling with Missing Data using Multiple Imputation

This short course will provide an introduction to the issues raised by missing data and the shortcomings of ad hoc methods for dealing with it. Participants will gain an understanding of multiple imputation as a tool for handling missing data. They will learn how to implement this method through a series of practical computing exercises with example datasets in Stata.

Lectures and computer practicals will be delivered by:

James Carpenter, London School of Hygiene and Tropical Medicine.

John Carlin, Clinical Epidemiology and Biostatistics Unit (CEBU), Murdoch Children’s Research Institute and Department of Paediatrics / Centre for MEGA Epidemiology, School of Population Health, University of Melbourne.

All enquiries should be made to the Course Coordinator:

Lyle Gurrin
Centre for MEGA Epidemiology
Email: lgurrin@unimelb.edu.au
Tel: +61 3 8344 0731