Skip to main content

Table 4 Summary of Model comparison among Cox proportional hazard model, parametric Cox- Regression models and frailty models using AIC, BIC LR criteria

From: Incidence and predictors of major adverse drug events among drug-resistant tuberculosis patients on second-line anti-tuberculosis treatment in Amhara regional state public hospitals; Ethiopia: a retrospective cohort study

Model

Baseline hazard

Frailty

Variance

AIC

BIC

Logliklihood

Cox regression

unspecified

 

3339.37

3382.67

--1659.68

Weibull regression

Weibull

 

1539.27

1591.23

− 757.63

Univariate frailty

Weibull

Gamma

6.45 (p < 0.01)

1453.07

1509.36

− 713.54

Univariate frailty

Weibull

Inverse-Gaussian

5.02(p < 0.01)

1504.51

1560.80

− 739.26

Shared frailty (by hospital)

Weibull

Gamma

0.006(p = 3.08

1541.02

1597.30

−757.51

Exponential regression

exponential

 

1566.57

1614.20

− 772.28

Gompertez regression

Gompertez

 

1474.27

1526.23

− 725.14