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SUMMARY:Non-ignorable missing data in parametric survival models - Katheri
 ne Boyd\, MRC Clinical Trials Unit
DTSTART:20071211T143000Z
DTEND:20071211T153000Z
UID:TALK7912@talks.cam.ac.uk
CONTACT:Nikolaos Demiris
DESCRIPTION:This talk will briefly discuss the existing work on survival m
 odels which allow for missing data. Data on people with cerebral palsy\, b
 orn in the Bristol area in the 1940s and 1950s will be described to motiva
 te methods for informative missing data. The models will be presented\, an
 d applied to the Bristol data. Accelerated failure regression is used to m
 odel the dependence of time on covariates. The missing data mechanism is a
 llowed to depend on both the covariates and the event time. The interpreta
 tion of the results will be compared with available case analysis and mult
 iple imputation results.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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