Table 2.
Equation performance in validation dataset (n = 266).
| Formula | Bias | Precision | Accuracy | |||
|---|---|---|---|---|---|---|
| MPE [95% CI] | R2 [95% CI] | RMSE [95% CI] | MAPE [95% CI] | P15 [95% CI] | P30 [95% CI] | |
| Cockcroft–Gault | − 0.16 [− 0.60; 0.27] | 0.40 [0.28; 0.52] | 3.52 [3.07; 3.96] | 27.2% [22.7–31.7%] | 40% [34%; 46%] | 77% [72%; 82%] |
| Ix | 0.84 [0.44; 1.25] | 0.42 [0.31; 0.52] | 3.46 [3.07; 3.85] | 30.3% [25.2–35.5%] | 46% [40%; 52%] | 71% [66%; 77%] |
| CRAFT 1 | 0.18 [− 0.13; 0.50] | 0.63 [0.53; 0.72] | 2.68 [2.34; 3.01] | 21.0% [17.7–24.2%] | 56% [50%; 62%] | 81% [76%; 85%] |
| CRAFT 2 | 0.16 [− 0.17; 0.48] | 0.61 [0.50; 0.70] | 2.78 [2.43; 3.12] | 22.3% [18.8–25.8] | 49% [44%; 55%] | 80% [76%; 85%] |
Confidence intervals were calculated with the combined variance of multiple imputation (10×) and bootstrap (1000×).
MPE mean prediction error (mmol/day), MAPE mean absolute percentage error, RMSE root mean squared error (mmol/day), R2 the R2-value calculated with linear regression, p15/p30 the percentage of points that fall within 15%/30% of the outcome.