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Table 2 Selection the link function, distribution family, specification and goodness-of-fit of the estimated models

From: Predicting healthcare expenditure based on Adjusted Morbidity Groups to implement a needs-based capitation financing system

 

AIC

BIC

Identity Gaussian

19.518

219E + 13

Logarithmic Gaussian

19.486

2.13E + 13

Power (0.5) Gaussian

19.503

2.16E + 13

Identity Inverse Gaussian

19.789

-1.76E + 07

Logarithmic Inverse Gaussian

19.789

-1.76E + 07

Power (0.5) Inverse Gaussian

19.789

-1.76E + 07

Identity Gamma

15.434

-1.57E + 07

Logarithmic Gamma

15.435

-1.57E + 07

Power (0.5) Gamma

15.434

-1.57E + 07

Identity Poisson

1978.709

2.45E + 09

Logarithmic Poisson

1947.902

2.41E + 09

Power (0.5) Poisson

1969.199

2.44E + 09

  

IC (95%)

λ β(Box-Cox)

0.0417

(0.0409,0.0425)

(Modified Park Test)

18.979

(1.8943,1.9016)

 

Pregibon

Hosmer-Lemesbow

R2

RMSE

MAE

Pseudovariance

MCO

0000

0.000

0.231

4188.547

1233.345

 

MCO Ln

0.000

0.000

0.213

4238.790

1205.425

 

GLM Power Gamma

0.598

0.000

0.225

4204.572

1202.172

0.440

GLM Logarithmic Gamma

0.403

0.000

0.230

4190.462

1198.393

0.440

GLM Identity Gamma

0.710

0.000

0.225

4203.810

1201.606

0.440

 

10 repetitions

   
 

Copa Test

RMSE

MAE

   

MCO

0.002

4190.709

1227.101

   

MCO Ln

0.000

4242.258

1197.594

   

GLM Power Gamma

0.000

4207.198

1196.252

   

GLM Logarithmic Gamma

0.256

4196.172

1190.308

   

GLM Identity Gamma

0.000

4205.495

1197.276