Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands

Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands

Abstract Background Clinical prediction models are not routinely validated. To facilitate validation procedures, the online Evidencio platform (https://www.evidencio.com) has developed a tool partly automating this process. This study aims to determine whether semi-automated validation can reliably...

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Bibliographic Details
Main Authors: Cornelia D. van Steenbeek, Marissa C. van Maaren, Sabine Siesling, Annemieke Witteveen, Xander A. A. M. Verbeek, Hendrik Koffijberg
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Medical Research Methodology
Subjects:
Prediction models
External validation
Semi-automated
Breast cancer
Online Access:http://link.springer.com/article/10.1186/s12874-019-0761-5

Internet

http://link.springer.com/article/10.1186/s12874-019-0761-5

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