Published on GHDx (https://ghdx.healthdata.org)

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

General Info

Geography 
Netherlands (NLD)
Time period covered 
January, 2013 - December, 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
Pages 
18
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.
Source URL:https://ghdx.healthdata.org/record/effects-misclassification-routine-healthcare-databases-accuracy-prognostic-prediction-models#comment-0