Table 3.
e-Score model comparisons and LRT.
Model | χ 2 (df) P | AIC | AUC | LRTa |
---|---|---|---|---|
Primary analytic modelsb | GECCO e-Score: 8.608 > 9.49; P = 0.07 Recalibrated e-Score: 23.969 > 9.49; P < 0.001 | |||
Base model | 56.610 (4) <0.0001 | 7339.076 | 0.579 | 7329.076 |
GECCO e-Score expanded model | 65.218 (8) <0.0001 | 7338.468 | 0.589 | 7320.468 |
Recalibrated e-Score expanded model | 80.579 (8) <0.0001 | 7323.107 | 0.600 | 7305.107 |
Abbreviation: AIC, Akaike information criterion.
aLRT: If difference between the −2LogL for the base model and expanded model is greater than the χ2 statistic for difference in degrees of freedom based on an α = 0.05, then the expanded model is significantly better.
Primary analytic models use the male validation sample in the following form for the base model: colorectal cancer ∼ age + race + family history; with the addition of the GECCO e-Score and recalibrated e-Score quintiles in separate expanded models.