From: Use of generalised additive models to categorise continuous variables in clinical prediction
Derivation ( N = 805) | Validation ( N = 545) | ||||
---|---|---|---|---|---|
Variable | Cut points | AIC | AUC | p-value* | |
RR | Continuous‡ | 317.10 | 0.634 | - | |
RR | Dichotomised | ≤ 22 | 318.10 | 0.594 | 0.079 |
> 22 | |||||
RR | 3-category | ≤ 20 | 314.50 | 0.638 | 0.8198 |
(20-24] | |||||
> 24 | |||||
RR | 4-category | ≤ 20 | 316.2 | 0.640 | 0.6833 |
(20-24] | |||||
(24-30] | |||||
> 30 | |||||
PCO2 | Continuous‡ | 250.26 | 0.825 | - | |
PCO2 | Dichotomised | ≤ 47 | 281.50 | 0.742 | ≤ .0001 |
> 47 | |||||
PCO2 | 3-category | ≤ 43 | 270.76 | 0.779 | 0.0002 |
(43-52] | |||||
> 52 | |||||
PCO2 | 4-category | ≤ 43 | 258.11 | 0.810 | 0.1148 |
(43-52] | |||||
(52-65] | |||||
> 65 |