How to Develop and Validate Prediction Models for Orthopedic Outcomes
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 orthopedics, 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 orthopedic research. Please visit the following (YouTube link will be provided later) for a video that explains the highlights of the paper in practical terms.
Acknowledgements
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. 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.
