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

Jessica Eleonore Kasza, Darren Wraith, Karen Lamb, Rory St John Wolfe

Research output: Contribution to journalArticleOther

8 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)483 - 492
Number of pages10
Issue number4
Publication statusPublished - 2014

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