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).
| Variables | Standard Weibull model | M1a (Frequentist) | M1b (Bayesian approach) | HR | 2.5% | 97.5% | HR | 2.5% | 97.5% |
| Sex | | | | | | | Female | Ref | | | | | | Male | 0.96 | 0.64 | 1.44 | 1.36 | 1.03 | 1.76 | Age | 0.99 | 0.99 | 1.00 | 1.00 | 1.00 | 1.01 | Marital status | | | | | | | Divorce | Ref | | | | | | Married | 1.36 | 1.03 | 1.8 | 0.79 | 0.66 | 0.96 | Single | 1.08 | 0.75 | 1.57 | 0.79 | 0.63 | 0.99 | Widowed | 1.57 | 1.14 | 2.18 | 0.72 | 0.59 | 0.9 | Topography | | | | | | | C50.0 nipple | Ref | | | | | | C50.1 central portion of breast | 1.00 | 0.67 | 1.50 | 1.14 | 0.90 | 1.45 | C50.2 upper-inner quadrant of breast | 1.05 | 0.73 | 1.50 | 1.16 | 0.93 | 1.44 | C50.3 lower-inner quadrant of breast | 0.95 | 0.64 | 1.40 | 1.23 | 0.97 | 1.57 | C50.4 upper-outer quadrant of breast | 1.01 | 0.75 | 1.35 | 1.12 | 0.92 | 1.37 | C50.5 lower-outer quadrant of breast | 1.01 | 0.68 | 1.50 | 1.02 | 0.82 | 1.29 | C50.6 axillary tail of breast | 0.38 | 0.18 | 0.80 | 1.11 | 0.77 | 1.57 | C50.8 overl. lesion of breast | 0.82 | 0.61 | 1.10 | 1.13 | 0.92 | 1.38 | C50.9 breast, NOS | 0.73 | 0.55 | 0.97 | 1.16 | 0.96 | 1.42 | Grade | | | | | | | B-Cell | Ref | | | | | | Grade I (Well diff) | 7.11 | 3.32 | 15.23 | 1.02 | 0.59 | 1.87 | Grade II (Mod diff) | 7.89 | 3.88 | 16.06 | 1.02 | 0.59 | 1.86 | Grade III (Poor diff) | 5.9 | 2.91 | 11.96 | 1.05 | 0.61 | 1.92 | Grade IV (Undiff anaplastic) | 5.44 | 2.48 | 11.9 | 0.92 | 0.52 | 1.74 | Laterality | | | | | | | Bilateral invasive | Ref | | | | | | Left | 0.92 | 0.61 | 1.39 | 1.06 | 0.8 | 1.43 | Paired site, late | 0.78 | 0.36 | 1.73 | 2.65 | 1.2 | 5.35 | Right | 0.94 | 0.62 | 1.42 | 1.03 | 0.78 | 1.39 | Extent | | | | | | | Distant metastasis | Ref | | | | | | Localised | 1.73 | 1.45 | 2.07 | 0.90 | 0.82 | 0.99 | Regional | 1.60 | 1.43 | 1.79 | 0.88 | 0.80 | 0.96 |
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