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Title: Flexible parametric models for relative survival, with application in coronary heart disease
Authors: Nelson, C.P.
Lambert, Paul C.
Squire, I.B.
Jones, David R.
First Published: 24-Sep-2007
Publisher: John Wiley & Sons
Citation: Statistics in Medicine, 2007, 26 (30), pp. 5486-5498
Abstract: Relative 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.
DOI Link: 10.1002/sim.3064
ISSN: 0277-6715
eISSN: 1097-0258
Version: Post print
Type: Article
Rights: © 2007 John Wiley & Sons, Ltd. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website. The definitive version is available at
Appears in Collections:Published Articles, Dept. of Cell Physiology and Pharmacology

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