External model validation of binary clinical risk prediction models in cardiovascular and thoracic surgery

Hickey, Graeme L ORCID: 0000-0002-4989-0054 and Blackstone, Eugene H (2016) External model validation of binary clinical risk prediction models in cardiovascular and thoracic surgery. JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 152 (2). pp. 351-355.

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Abstract

Clinical risk-prediction models serve an important role in healthcare. They are used for clinical decision-making and measuring the performance of healthcare providers. To establish confidence in a model, external model validation is imperative. When designing such an external model validation study, thought must be given to patient selection, risk factor and outcome definitions, missing data, and the transparent reporting of the analysis. In addition, there are a number of statistical methods available for external model validation. Execution of a rigorous external validation study rests in proper study design, application of suitable statistical methods, and transparent reporting.

Item Type:	Article
Uncontrolled Keywords:	Humans, Cardiac Surgical Procedures, Vascular Surgical Procedures, Thoracic Surgical Procedures, Data Interpretation, Statistical, Risk Assessment, Risk Factors, Predictive Value of Tests, Decision Support Techniques, Research Design, Validation Studies as Topic
Depositing User:	Symplectic Admin
Date Deposited:	11 Apr 2016 08:21
Last Modified:	16 Dec 2022 16:33
DOI:	10.1016/j.jtcvs.2016.04.023
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3000420