A comparison of survival models for prediction of eight-year revision risk following total knee and hip arthroplasty

A comparison of survival models for prediction of eight-year revision risk following total knee and hip arthroplasty

Abstract Background There is increasing interest in the development and use of clinical prediction models, but a lack of evidence-supported guidance on the merits of different modelling approaches. This is especially true for time-to-event outcomes, where limited studies have compared the vast numbe...

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Bibliographic Details
Main Authors: Alana R. Cuthbert, Lynne C. Giles, Gary Glonek, Lisa M. Kalisch Ellett, Nicole L. Pratt
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Medical Research Methodology
Subjects:
Prediction model
Machine learning
Time-to-event data
Flexible parametric survival model
Parametric survival model
Random survival forest
Online Access:https://doi.org/10.1186/s12874-022-01644-3

Internet

https://doi.org/10.1186/s12874-022-01644-3

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