CapogrossoPVickersA. A systematic review of the literature demonstrates some errors in the use of decision curve analysis but generally correct interpretation of findings. Med Decis Making. 2019. https://doi.org/10.1177/0272989X19832881
2.
VickersAJElkinEB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26(6):565–74.
3.
PaukerSGKassirerJ P. Therapeutic decision making: a cost-benefit analysis. N Engl J Med. 1975;293:229–34.
4.
BakerSGCookNRVickersAKramerBS. Using relative utility curves to evaluate risk prediction. J Royal Stat Soc Series A. 2009;172:729–48.
5.
BakerSG. Putting risk prediction in perspective: relative utility curves. J Natl Cancer Inst. 2009;101:1538–42.
6.
BakerSGVan CalsterBSteyerbergEW. Evaluating a new marker for risk prediction using the test tradeoff: an update. Int J Biostat. 2012;8:5.
7.
BakerSGKramerBS. Evaluating prognostic markers using relative utility curves and test tradeoffs. J Clin Oncol. 2015;33:2578–80.
8.
StokeyEZechauserR. A Primer for Policy Analysis. New York: W.W. Norton Company; 1978.
9.
Van CalsterBVickersAJ. Calibration of risk prediction models: impact on decision-analytic performance. Med Decis Making. 2015;35:162–9.
10.
KerrKFBrownMDZhuKJanesH. Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use. J Clin Oncol. 2016;34:2534–40.
11.
KerrKFBrownMDJanesH. Reply to A.J. Vickers, et al. J Clin Oncol. 2017;35:473–5.
12.
Van CalsterBWynantsLVerbeekJFM, et al. Reporting and interpreting decision curve analysis: a guide for investigators. Eur Urol. 2018;74:796–804.
