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Cited by 256

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Flexible parametric models for relative survival, with application in coronary heart disease

Open access
Nelson, Christopher P., Lambert, Paul C., Squire, Iain B., Jones, David R.·2007·Statistics in Medicine
DOI 10.1002/sim.3064
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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. Copyright © 2007 John Wiley & Sons, Ltd.

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Metadata

Authors
Nelson, C. P., Lambert, P. C., Squire, I. B., & Jones, D. R.
Venue
Statistics in Medicine
Publisher
Wiley
Published
2007-09-24
Volume
26
Issue
30
Pages
5486-5498
ISSN
  • 0277-6715 (ISSN-L)
  • 1097-0258
DOI
10.1002/sim.3064
OpenAlex
W2108174062
Cited by
256
References
19
FWCI
3.00
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.