Flexible parametric Rel Surv again.pdf (159.31 kB)
Flexible parametric models for relative survival, with application in coronary heart disease
journal contribution
posted on 2008-03-11, 10:07 authored by C.P. Nelson, Paul C. Lambert, I.B. Squire, David R. JonesRelative survival is frequently used in population-based studies as a method for estimating disease-related mortality without the need for information on cause of death. We propose an extension to relative survival of a flexible parametric model proposed by Royston and Parmar for censored survival data. The model provides smooth estimates of the relative survival and excess mortality rates by using restricted cubic splines on the log cumulative excess hazard scale. The approach has several advantages over some of the more standard relative survival models, which adopt a piecewise approach, the main being the ability to model time on a continuous scale, the survival and hazard functions are obtained analytically and it does not use split-time data.
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Citation
Statistics in Medicine, 2007, 26 (30), pp. 5486-5498Version
- AM (Accepted Manuscript)
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Statistics in MedicinePublisher
John Wiley & Sonsissn
0277-6715eissn
1097-0258Copyright date
2007Available date
2008-03-11Publisher DOI
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http://onlinelibrary.wiley.com/doi/10.1002/sim.3064/abstractLanguage
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