Research Article

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

Table 4

Weibull with log-normal frailty (Model 2).

VariablesWeibull with log-normal frailty
FrequentistBayesian approach
HR2.5%97.5%HR2.5%97.5%

Sex
 FemaleRef
 Male0.950.631.431.361.031.76
Age0.990.991.001.001.001.01
Marital status
 DivorcedRef
 Married1.381.051.830.790.660.96
 Single1.080.751.570.790.630.99
 Widowed1.551.122.140.720.590.90
Topography
 C50.0 nippleRef
 C50.1 central portion of breast1.010.681.501.140.901.45
 C50.2 upper-inner quadrant of breast1.060.751.511.160.931.44
 C50.3 lower-inner quadrant of breast0.950.641.401.230.971.57
 C50.4 upper-outer quadrant of breast1.010.751.351.120.921.37
 C50.5 lower-outer quadrant of breast1.020.691.521.020.821.29
 C50.6 axillary tail of breast0.390.180.821.110.771.57
 C50.8 overl. lesion of breast0.830.621.111.130.921.38
 C50.9 breast, NOS0.740.560.971.160.961.42
Grade
 B-CellRef
 Grade I (Well diff)7.273.3815.641.020.591.87
 Grade II (Mod diff)8.093.9716.511.020.591.86
 Grade III (Poor diff)6.032.9712.261.050.611.92
 Grade IV (Undiff anaplastic)5.552.5212.190.920.521.74
Laterality
 Bilateral invasiveRef
 Left0.950.631.431.060.801.43
 Paired site, late0.810.371.802.651.205.35
 Right0.960.641.451.030.781.39
Extent
 Distant metastasisRef
 Localised1.731.462.070.900.820.99
 Regional1.611.431.800.880.800.96
 Theta 0.00135.2