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. Author manuscript; available in PMC: 2026 Aug 6.
Published before final editing as: Can J Stat. 2026 Aug 4:e70058. doi: 10.1002/cjs.70058

Table 2:

Risk prediction assessment of the BCDDP data. The reported values are absolute error. “Interval”: absolute risk intervals defined in (4); “Risk”: averaged risk within each interval; “Cases”: predicted number of cases. Followed by the absolute error in the parentheses. “True” represents risks and number of cases from the well calibrated external model; “Proposed” stands for the proposed method; “Ad Hoc” stands for the Ad Hoc method; “Chatterjee’s” stands for the method using constraints from Chatterjee et al. (2016).

Intervals Risk Cases
True Proposed Ad Hoc Chatterjee’s True Proposed Ad Hoc Chatterjee’s
φ(S=1,x)∈[0.32%,8.18%) 0.008 0.000 0.000 0.992 270 12 16 29491
φ(S=2,x)∈[0.85%,11.22%) 0.018 0.000 0.000 0.012 1439 36 113 445
φ(S=1,x)∈[1.58%,1.93%) 0.018 0.001 0.001 0.982 15 2 1 898
φ(S=1,x)∈[1.93%,2.24%) 0.020 0.002 0.002 0.980 5 0 2 323
φ(S=1,x)∈[2.24%,3.15%) 0.026 0.002 0.002 0.974 17 3 0 641
φ(S=1,x)∈[3.15%,8.18%) 0.037 0.010 0.010 0.963 7 1 2 255
φ(S=2,x)∈[1.59%,2.34%) 0.018 0.000 0.000 0.009 515 40 26 239
φ(S=2,x)∈[2.34%,2.95%) 0.027 0.001 0.001 0.023 260 3 19 40
φ(S=2,x)∈[2.95%,4.46%) 0.033 0.003 0.003 0.032 180 3 27 5
φ(S=2,x)∈[4.46%,11.22%) 0.057 0.003 0.003 0.057 98 8 16 0