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

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Authors
Ranstam, Jonas
Robertsson, Otto
Issue Date
2017-08-03

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Citation
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 Orthopaedica
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 Fine and Gray model can be misleading if interpreted in terms of relative risk.
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https://www.tandfonline.com/doi/full/10.1080/17453674.2017.1361130
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Archived with thanks to Acta Orthopaedica
ae974a485f413a2113503eed53cd6c53
10.1080/17453674.2017.1361130
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English Journal Articles (Peer Reviewed)

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