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. 2013 Jul 9;13:269. doi: 10.1186/1472-6963-13-269

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

 
 
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%

Dx diagnoses, Rx prescriptions, DI Deprivation index.