The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Issue Date
2017-08-03
Metadata
Show full item recordCitation
The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data 2017, 88 (6):578 Acta OrthopaedicaAbstract
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.Description
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked FilesAdditional Links
https://www.tandfonline.com/doi/full/10.1080/17453674.2017.1361130Rights
Archived with thanks to Acta Orthopaedicaae974a485f413a2113503eed53cd6c53
10.1080/17453674.2017.1361130
Scopus Count
Collections