Unknown

Dataset Information

0

How to Develop and Validate Prediction Models for Orthopedic Outcomes.


ABSTRACT: 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 prediction model development and validation in arthroplasty research. Please visit the followinghttps://www.youtube.com/watch?v=9Yrit23Rkicfor a video that explains the highlights of the paper in practical terms.

SUBMITTER: Zaniletti I 

PROVIDER: S-EPMC10023373 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

How to Develop and Validate Prediction Models for Orthopedic Outcomes.

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]

Similar Datasets

| S-EPMC11869538 | biostudies-literature
| S-EPMC9910253 | biostudies-literature
| S-EPMC8436968 | biostudies-literature
| S-EPMC9030924 | biostudies-literature
| S-EPMC11895390 | biostudies-literature
| S-EPMC9290012 | biostudies-literature
| S-EPMC8327849 | biostudies-literature
| S-EPMC8519550 | biostudies-literature
| S-EPMC11182058 | biostudies-literature
| S-EPMC9418076 | biostudies-literature