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 number of modelling approaches available. This study compares prediction accuracy and variable importance measures for four modelling approaches in prediction of time-to-revision surgery following total knee arthroplasty (TKA) and total hip arthroplasty (THA).

Methods

The study included 321,945 TKA and 151,113 THA procedures performed between 1 January 2003 and 31 December 2017. Accuracy of the Cox model, Weibull parametric model, flexible parametric model, and random survival forest were compa

SUBMITTER: Cuthbert AR 

PROVIDER: S-EPMC9172144 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature