Bayesian and Frequentist Analytical Approaches Using Log-Normal and Gamma Frailty Parametric Models for Breast Cancer Mortality

Table 2

Model comparison with DIC and AIC values.

No	Model	BIC	AIC	LLR (df), value
Frequentist fitted models
1	M1a: standard Weibull	2661.71	2630.05	2296 (36),
2	M2a: Weibull with log-normal frailty	2615.16	2615.16	2287 (24),
3	M3a: Weibull with gamma frailty	2673.29	2628.17	2296.14 (35),
	Model	BIC	DIC	Marginal likelihood	Effective parameters
Bayesian fitted models
4	M1b: Bayesian standard Weibull	15057.52	Infinite	−6905.77	145.07
5	M2b: Bayesian Weibull with log-normal frailty	13913.35	13456.85	−6806.38,	35.0
6	M3b: Bayesian Weibull with gamma frailty	218424.1	3597.29	−20118.03	30117.4