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Department of Statistical Sciences

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

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Davidse, Alistair
Advisor dc:contributor.advisor
  • Juritz, June

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/4376
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/4376

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Davidse, Alistair. A comparison of methods for analysing interval-censored and truncated survival data. Department of Statistical Sciences, 2004. http://hdl.handle.net/11427/4376