Table 5. Case study of concordance measures (95% confidence interval) in logistic regression and Cox regression.
Logistic regression
|
Cox regression
|
|||
---|---|---|---|---|
Apparent validation | External validation | Apparent validation | External validation | |
SD(Xβ) | 1.028 | 1.112 | 0.904 | 0.965 |
Calibration slope | 1.000 | 1.023 | 1.000 | 0.785 |
Harrell’s c-index | 0.749 (0.719 – 0.778) | 0.779 (0.750 – 0.808) | 0.744 (0.707 – 0.781) | 0.725 (0.700 – 0.750) |
Uno (τ = 4) | 0.743 (0.705 – 0.782) | 0.729 (0.687 – 0.771) | ||
mbc = mbc(Xβ) | 0.749 (0.721 – 0.778) | 0.767 (0.759 – 0.775)† | 0.707 (0.680 – 0.734) | 0.719 (0.715 – 0.722)† |
c-mbc = mbc( Xβ) | 0.774 (0.746 – 0.803) | 0.684 (0.667 – 0.700) |
95% confidence interval based on the variance estimate of mbc(Xβ) under the assumption of true β