Table 3 MAPE (Mean absolute prediction error) expressed as a percentage of the average cost of different models based on case-mix systems, using different regression models
From: Predictive risk modelling in the Spanish population: a cross-sectional study
Linear regression (OLS) | Two-part | Hierarchical models | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
ACG-PM | CRG | DCG-HCC | ACG-PM | CRG | DCG-HCC | ACG-PM | CRG | DCG-HCC | ||
Recalibration | Variables | |||||||||
Age and Sex (A&S) | 106.80% | 109.09% | 106.52% | |||||||
A&S + Only Dx | 92.36% | 96.36% | 91.26% | 114.59% | 104.74% | 109.74% | 95.27% | 95.97% | 91.52% | |
A&S + Only Rx | 93.57% | 91.87% | 113.84% | 115.74% | 93.74% | 91.98% | ||||
A&S + Dx + Rx | 88.41% | 87.02% | 114.96% | 114.44% | 89.87% | 87.26% | ||||
A&S + Dx + Rx + cost percentile | 85.99% | 87.70% | 85.05% | 98.52% | 96.11% | 97.92% | 86.97% | 87.72% | 85.37% | |
A&S + Dx + Rx + cost percentile + DI | 86.02% | 87.70% | 85.06% | 98.49% | 96.09% | 97.89% | 86.97% | 87.72% | 85.37% | |