The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data
(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.
(Less)
- author
- Ranstam, Jonas LU and Robertsson, Otto LU
- organization
- publishing date
- 2017-08-03
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Acta Orthopaedica
- pages
- 3 pages
- publisher
- Taylor & Francis
- external identifiers
-
- pmid:28771059
- wos:000416605900004
- 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
- 2024-09-02 05:40:16
@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}}, doi = {{10.1080/17453674.2017.1361130}}, year = {{2017}}, }