Survival analysis of time-to-event data in respiratory health research studies Kasza, Jessica, Wraith, Darren, Lamb, Karen and Wolfe, Rory 2014, Survival analysis of time-to-event data in respiratory health research studies, Respirology, vol. 19, no. 4, pp. 483-492, doi: 10.1111/resp.12281. Attached Files Name Description MIMEType Size Downloads Title Survival analysis of time-to-event data in respiratory health research studies Author(s) Kasza, Jessica Wraith, Darren Lamb, Karen orcid.org/0000-0001-9782-8450 Wolfe, Rory Journal name Respirology Volume number 19 Issue number 4 Start page 483 End page 492 Total pages 10 Publisher Wiley-Blackwell Publishing Asia Place of publication Melbourne, Vic Publication date 2014-05 ISSN 1323-7799 Keyword(s) accelerated failure time model Kaplan–Meier estimate proportional hazards model survival analysis Summary This article provides a review of techniques for the analysis of survival data arising from respiratory health studies. Popular techniques such as the Kaplan–Meier survival plot and the Cox proportional hazards model are presented and illustrated using data from a lung cancer study. Advanced issues are also discussed, including parametric proportional hazards models, accelerated failure time models, time-varying explanatory variables, simultaneous analysis of multiple types of outcome events and the restricted mean survival time, a novel measure of the effect of treatment. Language eng DOI 10.1111/resp.12281 Field of Research 111799 Public Health and Health Services not elsewhere classified Socio Economic Objective 920115 Respiratory System and Diseases (incl. Asthma) HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2014, Wiley-Blackwell Publishing Asia Persistent URL http://hdl.handle.net/10536/DRO/DU:30064282 Document type: Journal Article Collections: Faculty of Health School of Exercise and Nutrition Sciences Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 12 Jun 2014, 15:32:34 EST Fri, 13 Jun 2014, 08:05:20 EST Fri, 13 Jun 2014, 14:10:37 EST Fri, 13 Jun 2014, 14:12:08 EST Wed, 18 Jun 2014, 15:30:49 EST Mon, 23 Nov 2015, 09:19:00 EST Wed, 07 Oct 2020, 04:36:07 EST Sat, 23 Jul 2022, 20:37:18 EST Filtered Full Citation counts:   Cited 8 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 385 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Thu, 12 Jun 2014, 15:32:21 EST by Jane Moschetti