Survival analysis of time-to-event data in respiratory health research studies

Kasza, Jessica, Wraith, Darren, Lamb, Karen, & Wolfe, Rory (2014) Survival analysis of time-to-event data in respiratory health research studies. Respirology, 19(4), pp. 483-492.

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Abstract

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.

Impact and interest:

5 citations in Scopus
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5 citations in Web of Science®

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ID Code: 92577
Item Type: Journal Article
Refereed: Yes
Keywords: accelerated failure time model;Kaplan–Meier estimate;proportional hazards model;survival analysis
DOI: 10.1111/resp.12281
ISSN: 1323-7799
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Deposited On: 03 Feb 2016 23:27
Last Modified: 05 Feb 2016 01:27

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