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

Jonas Ranstam, Otto Robertsson

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

Útdráttur

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.
Upprunalegt tungumálEnska
FræðitímaritActa Orthopaedica
DOI
ÚtgáfustaðaÚtgefið - 3 ágú. 2017

Önnur efnisorð

  • Liðskiptaaðgerðir
  • Bæklunarlækningar
  • Skýrslur
  • Staðlar
  • ORT12
  • Arthroplasty, Replacement
  • Arthroplasty, Replacement, Hip
  • Arthroplasty, Replacement, Knee
  • Postoperative Complications
  • Reoperation
  • Statistics

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