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Table 5 Model performance and comparison using simulation study (n=100) with about 40% censored observations

From: Generalized log-logistic proportional hazard model with applications in survival analysis

    

Generalized

   
 

Parameter

  

log-logistic PH

 

Weibull PH

 

Cox PH

Scenarios

 

True

 

Mean

AB

MSE

 

Mean

AB

MSE

 

Mean

AB

MSE

Scenario 1

β 1

0.50

 

0.524

0.024

0.024

 

0.531

0.031

0.024

 

0.524

0.024

0.025

(True model:

β 2

−0.50

 

−0.538

0.038

0.032

 

−0.545

0.045

0.033

 

−0.536

0.036

0.032

generalized

β 3

0.75

 

0.798

0.048

0.088

 

0.808

0.058

0.090

 

0.795

0.045

0.091

Weibull)

β 4

−0.75

 

−0.780

0.030

0.081

 

−0.792

0.042

0.083

 

−0.782

0.032

0.083

 

ρ

0.10

 

0.148

   

0.103

      
 

κ

0.50

 

0.550

   

0.508

      
 

γ

−0.10

 

0.073

         

Scenario 2

β 1

0.50

 

0.516

0.016

0.027

 

0.518

0.018

0.027

 

0.532

0.032

0.031

(True model:

β 2

−0.50

 

−0.522

0.022

0.035

 

−0.523

0.023

0.035

 

−0.533

0.033

0.039

generalized

β 3

0.75

 

0.785

0.035

0.099

 

0.788

0.038

0.099

 

0.813

0.063

0.112

Weibull)

β 4

−0.75

 

−0.765

0.015

0.082

 

−0.768

0.018

0.082

 

−0.796

0.046

0.092

 

ρ

0.10

 

0.107

   

0.106

      
 

κ

2.00

 

2.269

   

2.249

      
 

γ

0.10

 

0.006

          

Scenario 3

β 1

0.50

 

0.519

0.019

0.025

 

0.530

0.030

0.026

 

0.516

0.016

0.026

(True model:

β 2

−0.50

 

−0.548

0.048

0.038

 

−0.557

0.057

0.039

 

−0.547

0.047

0.039

generalized

β 3

0.75

 

0.791

0.041

0.099

 

0.811

0.061

0.103

 

0.791

0.041

0.102

Weibull)

β 4

−0.75

 

−0.790

0.040

0.089

 

−0.811

0.061

0.093

 

−0.792

0.042

0.095

 

ρ

0.10

 

0.103

   

0.098

      
 

κ

2.00

 

2.130

   

2.016

      
 

γ

−0.10

 

0.024