@article{5ef9f512054845e88da66baab12dbd76,
title = "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 following https://www.youtube.com/watch?v=9Yrit23Rkic for a video that explains the highlights of the paper in practical terms.",
keywords = "arthroplasty, machine learning, model validation, orthopedics, predictors, risk prediction",
author = "Isabella Zaniletti and Larson, {Dirk R.} and Lewallen, {David G.} and Berry, {Daniel J.} and {Maradit Kremers}, Hilal",
note = "Funding Information: Funding: This work was funded by a grant from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) grant P30AR76312 and the American Joint Replacement Research-Collaborative (AJRR-C). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Role of the funding source: The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study, and all authors had final responsibility for the decision to submit for publication. Funding Information: Funding: This work was funded by a grant from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) grant P30AR76312 and the American Joint Replacement Research-Collaborative (AJRR-C). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Publisher Copyright: {\textcopyright} 2022 Elsevier Inc.",
year = "2023",
month = apr,
doi = "10.1016/j.arth.2022.12.032",
language = "English (US)",
volume = "38",
pages = "627--633",
journal = "Journal of Arthroplasty",
issn = "0883-5403",
publisher = "Churchill Livingstone",
number = "4",
}