Computation of Nonparametric Survival Functions in the Presence of Interval Censoring

Simple item page
aut.researcherTaylor, Stephen McGregor
dc.contributor.authorTaylor, SM
dc.date.accessioned2011-09-29T01:16:46Z
dc.date.available2011-09-29T01:16:46Z
dc.date.copyright2008-11-18
dc.date.issued2008-11-18
dc.description.abstractThis talk will cover my research in developing an efficient and robust algorithm for solving a particular problem in survival analysis. The problem is to find the nonparametric maximum likelihood (NPMLE) survival function from time-to-event data where some or all of the observation times are censored by arbitrary intervals in the positive real line. The presence of this censoring makes the problem difficult; since no closed form solution is possible, iterative optimisation techniques must be used. We have called our new algorithm the “Hierarchical Constrained Newton Method” (HCNM) because it is based on the existing CNM algorithm, enhancing it with a divide and conquer approach.
dc.identifier.citationNew Zealand Mathematics and Statistics Postgraduate Conference 2008, Whitianga, New Zealand
dc.identifier.roid12015en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/2159
dc.publisherNZMASP
dc.relation.urihttp://www.math.auckland.ac.nz/Events/2008/nzmasp08/
dc.rightsAuckland University of Technology (AUT) encourages public access to AUT information and supports the legal use of copyright material in accordance with the Copyright Act 1994 (the Act) and the Privacy Act 1993. Unless otherwise stated, copyright material contained on this site may be in the intellectual property of AUT, a member of staff or third parties. Any commercial exploitation of this material is expressly prohibited without the written permission of the owner.
dc.rights.accessrightsOpenAccess
dc.titleComputation of Nonparametric Survival Functions in the Presence of Interval Censoring
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Health & Environmental Sciences PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Health & Environmental Sciences PBRF Researchers/HES PubH Nat Inst for PH & MH
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
STaylor-Talk-Whitianga.pdf
Size:
1.13 MB
Format:
Adobe Portable Document Format
Description:
Conference contribution
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
licence.htm
Size:
29.98 KB
Format:
Unknown data format
Description:
Download
Collections
School of Public Health and Interdisciplinary Studies