Detection of calibration drift in clinical prediction models to inform model updating
- 4 November 2020
- journal article
- research article
- Published by Elsevier in Journal of Biomedical Informatics
- Vol. 112, 103611
Abstract
No abstract availableKeywords
Funding Information
- Health Services Research and Development
- National Institutes of Health (BCHI-R01-130828)
This publication has 55 references indexed in Scilit:
- The EuroSCORE in Western Denmark: A Population-Based StudyJournal of Cardiothoracic and Vascular Anesthesia, 2012
- Adaptation of Clinical Prediction Models for Application in Local SettingsMedical Decision Making, 2012
- Calibrating predictive model estimates to support personalized medicineJournal of the American Medical Informatics Association, 2012
- Exponentially weighted moving average charts for detecting concept driftPattern Recognition Letters, 2012
- Evaluation of an automated safety surveillance system using risk adjusted sequential probability ratio testingBMC Medical Informatics and Decision Making, 2011
- Effect of changes over time in the performance of a customized SAPS-II model on the quality of care assessmentIntensive Care Medicine, 2011
- Illustration of a Statistical Process Control Approach to Regional Prescription Opioid Abuse SurveillanceJournal of Addiction Medicine, 2011
- Exponentially weighted moving average charts to compare observed and expected values for monitoring risk-adjusted hospital indicatorsBMJ Quality & Safety, 2011
- Application of statistical process control in healthcare improvement: systematic reviewQuality and Safety in Health Care, 2007
- Statistical Process Control as a Tool for Monitoring Nonoperative TimeAnesthesiology, 2006