Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Abstract Background To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a large number of heterogeneous observat...

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Bibliographic Details
Main Authors: Jenna M. Reps, Ross D. Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B. Ryan, Rae Woong Park, Hong-Seok Lim, Peter Rijnbeek
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Medical Research Methodology
Subjects:
Patient-level prediction
Prognostic model
External validation
Transportability
Collaborative network
Online Access:http://link.springer.com/article/10.1186/s12874-020-00991-3

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http://link.springer.com/article/10.1186/s12874-020-00991-3

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