Document Detail


Survival analysis of time-to-event data in respiratory health research studies.
MedLine Citation:
PMID:  24689901     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Jessica Kasza; Darren Wraith; Karen Lamb; Rory Wolfe
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-4-1
Journal Detail:
Title:  Respirology (Carlton, Vic.)     Volume:  -     ISSN:  1440-1843     ISO Abbreviation:  Respirology     Publication Date:  2014 Apr 
Date Detail:
Created Date:  2014-4-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9616368     Medline TA:  Respirology     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2014 Asian Pacific Society of Respirology.
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