Research Article

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

Table 3

Standard Weibull model (Model 1).

VariablesStandard Weibull model
M1a (Frequentist)M1b (Bayesian approach)
HR2.5%97.5%HR2.5%97.5%

Sex
 FemaleRef
 Male0.960.641.441.361.031.76
Age0.990.991.001.001.001.01
Marital status
 DivorceRef
 Married1.361.031.80.790.660.96
 Single1.080.751.570.790.630.99
 Widowed1.571.142.180.720.590.9
Topography
 C50.0 nippleRef
 C50.1 central portion of breast1.000.671.501.140.901.45
 C50.2 upper-inner quadrant of breast1.050.731.501.160.931.44
 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 breast1.010.681.501.020.821.29
 C50.6 axillary tail of breast0.380.180.801.110.771.57
 C50.8 overl. lesion of breast0.820.611.101.130.921.38
 C50.9 breast, NOS0.730.550.971.160.961.42
Grade
 B-CellRef
 Grade I (Well diff)7.113.3215.231.020.591.87
 Grade II (Mod diff)7.893.8816.061.020.591.86
 Grade III (Poor diff)5.92.9111.961.050.611.92
 Grade IV (Undiff anaplastic)5.442.4811.90.920.521.74
Laterality
 Bilateral invasiveRef
 Left0.920.611.391.060.81.43
 Paired site, late0.780.361.732.651.25.35
 Right0.940.621.421.030.781.39
Extent
 Distant metastasisRef
 Localised1.731.452.070.900.820.99
 Regional1.601.431.790.880.800.96