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Non-ignorable missing data in parametric survival models

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If you have a question about this talk, please contact Nikolaos Demiris .

This talk will briefly discuss the existing work on survival models which allow for missing data. Data on people with cerebral palsy, born in the Bristol area in the 1940s and 1950s will be described to motivate methods for informative missing data. The models will be presented, and applied to the Bristol data. Accelerated failure regression is used to model the dependence of time on covariates. The missing data mechanism is allowed to depend on both the covariates and the event time. The interpretation of the results will be compared with available case analysis and multiple imputation results.

This talk is part of the MRC Biostatistics Unit Seminars series.

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