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The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data

Ranstam, Jonas LU and Robertsson, Otto LU (2017) In Acta Orthopaedica p.1-3
Abstract

Background and purpose — Analysis of the revision-free survival of knee and hip prostheses has traditionally been performed using Kaplan–Meier analysis and Cox regression. The competing risk problem that is related to patients who die during follow-up has recently been increasingly discussed, not least with regard to the problem of choosing a suitable statistical method for the analysis. We compared the results from analyses of Cox models and Fine and Gray models. Methods — We used data simulation based on parameter estimates from the Swedish Knee Arthroplasty Register and assessed hypothetical effects of the studied risk factors. Results — The Cox model provided more adequate results. Interpretation — The parameter estimates from the... (More)

Background and purpose — Analysis of the revision-free survival of knee and hip prostheses has traditionally been performed using Kaplan–Meier analysis and Cox regression. The competing risk problem that is related to patients who die during follow-up has recently been increasingly discussed, not least with regard to the problem of choosing a suitable statistical method for the analysis. We compared the results from analyses of Cox models and Fine and Gray models. Methods — We used data simulation based on parameter estimates from the Swedish Knee Arthroplasty Register and assessed hypothetical effects of the studied risk factors. Results — The Cox model provided more adequate results. Interpretation — The parameter estimates from the Fine and Gray model can be misleading if interpreted in terms of relative risk.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Acta Orthopaedica
pages
3 pages
publisher
Taylor & Francis
external identifiers
  • scopus:85026887411
ISSN
1745-3674
DOI
10.1080/17453674.2017.1361130
language
English
LU publication?
yes
id
b828dc7c-8a9c-4d9c-8e8c-7d4d53a085ab
date added to LUP
2017-08-22 17:07:39
date last changed
2017-08-23 03:00:03
@article{b828dc7c-8a9c-4d9c-8e8c-7d4d53a085ab,
  abstract     = {<p>Background and purpose — Analysis of the revision-free survival of knee and hip prostheses has traditionally been performed using Kaplan–Meier analysis and Cox regression. The competing risk problem that is related to patients who die during follow-up has recently been increasingly discussed, not least with regard to the problem of choosing a suitable statistical method for the analysis. We compared the results from analyses of Cox models and Fine and Gray models. Methods — We used data simulation based on parameter estimates from the Swedish Knee Arthroplasty Register and assessed hypothetical effects of the studied risk factors. Results — The Cox model provided more adequate results. Interpretation — The parameter estimates from the Fine and Gray model can be misleading if interpreted in terms of relative risk.</p>},
  author       = {Ranstam, Jonas and Robertsson, Otto},
  issn         = {1745-3674},
  language     = {eng},
  month        = {08},
  pages        = {1--3},
  publisher    = {Taylor & Francis},
  series       = {Acta Orthopaedica},
  title        = {The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data},
  url          = {http://dx.doi.org/10.1080/17453674.2017.1361130},
  year         = {2017},
}