A comparison of methods for analysing interval-censored and truncated survival data

Master Thesis

2004

Permanent link to this Item
http://hdl.handle.net/11427/4376
Files
thesis_sci_2004_davidse_a.pdf (2.53 MB)
Authors
Davidse, Alistair
Supervisors
Juritz, June
Journal Title
Link to Journal
Journal ISSN
Volume Title
Publisher
Publisher

University of Cape Town

Department
Department of Statistical Sciences
Faculty
Faculty of Science
License
Series
Abstract
This thesis examines three methods for analysing right-censored data: the Cox proportional hazards model (Cox, 1972), the Buckley-James regression model (Buckley and James, 1979) and the accelerated failure time model. These models are extended to incorporate the analysis of interval-censored and left-truncated data. The models are compared in an attempt to determine whether one model performs better than the others in terms of goodness-of-it and in terms of predictive power. Plots of the residuals and random effects from the Cox proportional hazards model are also examined.
Description

Bibliography: leaves 49-50.

Keywords
Mathematical Statistics

Reference:

Davidse, A. 2004. A comparison of methods for analysing interval-censored and truncated survival data. University of Cape Town.

Collections
Masters