Missing data and composite endpoints
in the series Centre for Statistical Methodology Seminar Series
Date: Friday 25 January 2013
Time: 12:45 pm - 2:00 pm
Venue: LG9, LSHTM, Keppel Street, London, WC1E 7HT, UK
Type of event: Seminar
Speaker(s): Rhian Daniel, LSHTM
Missing data and composite endpoints: efficient estimation of the distribution of time to composite endpoint when one of the endpoints is incompletely observed
Two common features of studies with a survival outcome is (a) that this outcome may be a composite endpoint, and (b) that some subjects may withdraw prematurely before the end of the study without experiencing an event. In some settings, withdrawal may only affect observation of some components of the composite endpoint, for example when another component is death, information on which may be available from a national registry. In this talk, we show how such partial information on the composite endpoint for subjects who withdraw from the study can be incorporated in a principled way into the estimation of the distribution of time to composite endpoint, using augmented inverse probability weighted estimating equations. This approach typically leads to increased efficiency without relying on additional assumptions above those that would be made by standard approaches. The proposed approach is described and its properties demonstrated in a simulation study.
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More information: http://csm.lshtm.ac.uk/