Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.772503
Title: Dynamic longitudinal survival analysis
Author: Mohan, Gurjinder
ISNI:       0000 0004 7959 9895
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2017
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Abstract:
In recent times, a greater emphasis is being placed on understanding the underlying processes and mechanisms that drive and generate survival data. As Aalen and Gjessing (2001) note, events don't happen out of the blue, there is a development preceding each event. When observing the time till occurrence of a death, ageing is one such underlying process or 'development'. This project outlines potential methods for the analysis of longitudinal survival data, from an ageing perspective, and develops a novel dynamic model which incorporates understanding of the ageing process, illustrated through application to lifetime behavioural data available for a sample of fruit-flies.
Supervisor: Steinsaltz, David Sponsor: Department of Statistics
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.772503  DOI: Not available
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