The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation

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General Info

Geography

Netherlands (NLD)

Time period covered

01/2013 - 12/2017

Data type

Scientific literature

Keywords

Atrial fibrillation and flutter

Citation

Authors

van Doorn S, Brakenhoff TB, Moons KGM, Rutten FH, Hoes AW, Groenwold RHH, Geersing GJ

Journal

Diagn Progn Res

Volume

Pages

Publication year

2017

Suggested citation

van Doorn S, Brakenhoff TB, Moons KGM, Rutten FH, Hoes AW, Groenwold RHH, Geersing GJ. The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation. Diagn Progn Res. 2017; 1: 18.

GHDx Entry last modified on: May 30, 2020

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The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation

Nav