Go to  Advanced Search

Hierarchical modelling of multivariate survival data

Show full item record

Files in this item

Files Size Format Description   View
ubc_1992_spring_gustafson_paul.pdf 3.398Mb Adobe Portable Document Format   View/Open
 
Title: Hierarchical modelling of multivariate survival data
Author: Gustafson, Paul Antony
Degree Master of Science - MSc
Program Statistics
Copyright Date: 1991
Abstract: Hierarchical models based on conditional independence are investigated as a means of modelling multivariate survival times. The model structure follows Clayton (1978), Hougaard (1986b), and Oakes (1986, 1989). Both approximate Bayesian and maximum likelihood estimation in these models is investigated via simulation. Predicting a component of a response vector on the basis of other components of the response and other vectors is also studied, using Bayes and empirical Bayes methods. Application to real data is detailed, using the techniques of estimation and prediction discussed.
URI: http://hdl.handle.net/2429/1649
Series/Report no. UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]

This item appears in the following Collection(s)

Show full item record

All items in cIRcle are protected by copyright, with all rights reserved.

UBC Library
1961 East Mall
Vancouver, B.C.
Canada V6T 1Z1
Tel: 604-822-6375
Fax: 604-822-3893