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.

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Title Survival analysis of time-to-event data in respiratory health research studies
Author(s) Kasza, Jessica
Wraith, Darren
Lamb, KarenORCID iD for Lamb, Karen
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
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Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
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