Avtor/Urednik		Van Geloven, Nan; Giardiello, Daniele; Bonneville, Edouard F; Teece, Lucy; Ramspek, Chava L; Van Smeden, Maarten; Snell, Kym I E; Van Calster, Ben; Pohar Perme, Maja
Naslov		Validation of prediction models in the presence of competing risks
Tip		članek
Vol. in št.		, št. Vol. 377
Leto izdaje		2022
Obseg		str. 1-7
ISSN		1756-1833 - British medical journal (Clinical research ed.) (Online)
Jezik		eng
Abstrakt		Thorough validation is pivotal for any prediction model before it can be advocated for use in medical practice. For time-to-event outcomes such as breast cancer recurrence, death from other causes is a competing risk. Model performance measures must account for such competing events. In this article, we present a comprehensive yet accessible overview of performance measures for this competing event setting, including the calculation and interpretation of statistical measures for calibration, discrimination, overall prediction error, and clinical usefulness by decision curve analysis. All methods are illustrated for patients with breast cancer, with publicly available data and R code.
Proste vsebinske oznake		statistics medicine validation of prediction models statistika medicina validacija napovednih modelov