Research Article

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

Table 5

Weibull with gamma frailty (Model 3).

VariablesWeibull with gamma frailty
FrequentistBayesian approach
HR2.5%97.5%HR2.5%97.5%

Sex
 FemaleRef
 Male0.960.641.44
Age0.990.991.001.001.001.01
Marital
 DivorceRef
 Married1.371.031.810.790.650.96
 Single1.090.751.580.780.630.98
 Widowed1.571.142.180.720.580.89
Topography
 C50.0 nippleRef
 C50.1 central portion of breast1.000.671.501.170.921.49
 C50.2 upper-inner quadrant of breast1.040.731.491.180.951.49
 C50.3 lower-inner quadrant of breast0.950.641.401.260.991.63
 C50.4 upper-outer quadrant of breast1.010.751.351.140.931.41
 C50.5 lower-outer quadrant of breast1.010.681.501.050.831.33
 C50.6 axillary tail of breast0.380.180.801.250.881.81
 C50.8 overl. lesion of breast0.820.611.101.150.941.43
 C50.9 breast, NOS0.730.550.971.190.971.47
Grade
 B-CellRef
 Grade I (Well diff)7.133.3315.261.080.552.38
 Grade II (Mod diff)7.903.8816.091.080.562.37
 Grade III (Poor diff)5.912.9111.981.120.582.46
 Grade IV (Undiff anaplastic)5.442.4911.910.980.492.18
Laterality
 Bilateral invasiveRef
 Left0.920.611.391.100.821.51
 Paired site, late0.780.361.732.511.055.06
 Right0.940.621.421.080.801.47
Extent
 Distant metastasisRef
 Localised1.731.452.070.910.830.99
 Regional1.601.431.790.880.810.96
 Theta0.98<0.001