University of Newcastle upon Tyne

School of Mathematics and Statistics

Statistics Seminars 2004-2005

13 May 2005, L401, 2:15pm

Professor Mike Kenward, London School of Hygiene and Tropical Medicine

Abstract

Rubin's method of multiple imputation (MI) for handling missing data in a principled way is now well established in some areas of application. A brief overview of the method will be given, providing both links to other approaches and some intuitive views of the technique. The main part of the talk will consider the use of MI when data have a hierarchical or longitudinal structure, and this will illustrated with a macro developed for MLwiN. Some additional comments will be made on sensitivity analysis and robust MI.

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