Ontology highlight
ABSTRACT:
SUBMITTER: Zaniletti I
PROVIDER: S-EPMC10023373 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature

Zaniletti Isabella I Larson Dirk R DR Lewallen David G DG Berry Daniel J DJ Maradit Kremers Hilal H
The Journal of arthroplasty 20221224 4
Prediction models are common in medicine for predicting outcomes such as mortality, complications, or response to treatment. Despite the growing interest in these models in arthroplasty (and orthopaedics in general), few have been adopted in clinical practice. If robustly built and validated, prediction models can be excellent tools to support surgical decision making. In this paper, we provide an overview of the statistical concepts surrounding prediction models and outline practical steps for ...[more]