Table 2.
Mean errora | Maximum error | Minimum error | Mean percent errorb | Maximum percent error | Minimum percent error | R-squarec | |
---|---|---|---|---|---|---|---|
Number of NJUEBMI population (No.) | 2.27E-05 | 55591 | −47633 | −0.09 | 2.93 | −2.88 | 0.997 |
Incidence (pmp) | |||||||
All ESRD | 3.23E-09 | 1.57 | −1.55 | −3.07E-03 | 0.73 | −0.75 | 0.943 |
HD | −3.28E-09 | 0.94 | −0.98 | −1.73E-03 | 0.53 | −0.54 | 0.971 |
PD | 0.15 | 1.52 | −0.65 | 0.56 | 5.66 | −2.76 | 0.869 |
Kidney Transplant | −0.12 | 0.83 | −1.04 | −1.42 | 6.29 | −10.68 | 0.756 |
Prevalence (pmp) | |||||||
All ESRD | 4.55E-09 | 58.32 | −43.33 | −0.07 | 5.36 | −4.77 | 0.915 |
HD | 1.17 | 24.73 | −65.08 | 0.12 | 2.78 | −8.16 | 0.931 |
PD | −2.73E-10 | 4.7 | −4.92 | 0.41 | 10.93 | −5.61 | 0.993 |
Kidney Transplant | −3.09E-09 | 10.31 | −9.57 | −0.06 | 6.42 | −4.9 | 0.961 |
Health care costs (¥, in millions) | |||||||
All ESRD | −0.64 | 16.61 | −15.22 | −1.57 | 7.09 | −13.46 | 0.990 |
HD | −1.55E-09 | 8.89 | −12.8 | 0.63 | 15.31 | −12.41 | 0.991 |
PD | 0.49 | 3.83 | −1.61 | 5.62 | 37.36 | −9.99 | 0.969 |
Kidney Transplant | −1.00E-10 | 0.95 | −0.88 | −0.36 | 29 | −23.87 | 0.953 |
Per capita medical expenses (¥, in thousands) | |||||||
All ESRD | −0.11 | 3.35 | −2.89 | −0.27 | 3.88 | −4.48 | 0.942 |
HD | 0.48 | 4.79 | −4.6 | 0.45 | 5.34 | −5.38 | 0.777 |
PD | −0.94 | 8.46 | −8.69 | −2.49 | 9.46 | −13.08 | 0.852 |
Kidney Transplant | −2.50E-11 | 1.94 | −1.34 | −0.7 | 10.93 | −12.1 | 0.917 |
Abbreviations: NJUEBMI Nanjing urban employee basic medical insurance, ESRD end stage renal disease, HD hemodialysis, PD peritoneal dialysis, pmp per million population
aThe mean error indicates an average difference (2004 to 2014) of the forecasted values from the observed values. The maximum error indicates one of the 11 years (2004 to 2014) that exhibited the largest deviation of the forecasted value from the observed value, and the minimum error indicates the smallest deviation. A positive sign indicates over forecasting, whereas a negative sign indicates under forecasting
bThe mean percent error reflects a proportional deviation of the mean error. Maximum and Minimum percent errors reflect proportional deviations of the largest and smallest errors, respectively
cThe R-Square indicates the correlation between the observed values and the forecasted values