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. 2016 Jun 13;17:60. doi: 10.1186/s12882-016-0269-8

Table 2.

Goodness-of-fit statistical values

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