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. Author manuscript; available in PMC: 2023 Oct 3.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2023 Apr 3;32(4):561–571. doi: 10.1158/1055-9965.EPI-22-0677

Figure 2. Weak calibration for 7 risk prediction models for surveillance failure (interval second breast cancer).

Figure 2.

Each subfigure demonstrated the weak calibration of an individual modeling approach by comparing the mean predicted risk (x-axis) to the observed risk of surveillance failure (y-axis) in 10 deciles determined by the predicted risk. The vertical error bars showed the 95% confidence interval of the observed risk of surveillance failure in individual deciles. A p-value from the Hosmer-Lemeshow test (HL test) was shown as well for each modeling approach.