Letters
Comparing risk prediction models
Authors’ reply to Noble and colleagues and Liew and colleagues
BMJ 2012; 345 doi: https://doi.org/10.1136/bmj.e4360 (Published 03 July 2012) Cite this as: BMJ 2012;345:e4360
- George C M Siontis, research associate1,
- Ioanna Tzoulaki, lecturer1,
- Konstantinos C Siontis, research associate1,
- John P A Ioannidis, professor2
- 1Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- 2Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- jioannid{at}stanford.edu
We agree with Noble and colleagues that impact studies are important for understanding what can be achieved with different predictive models in real practice.1 2 In our systematic review we focused only on existing comparisons of the risk models’ predictive ability (as quantified by discrimination, calibration, or reclassification metrics). Evaluation …
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