Table 3.

Estimating results of the combination of models based on 2000 Monte Carlo dataset simulations reported by HR with 95% credible interval for the Cox regression (Survival model) and OR with 95% credible interval for the logistic regression (resection model) and for the ordered logistic regression (classification model)

Model	Parameter	HR/OR (2.5%; 97.5%)
Resection	Age (≥67 vs <67)	0.47 (0.36; 0.63)
	Sex (female vs male)	1.01 (0.79; 1.35)
	Comorbidity (growing)	0.65 (0.54; 0.79)
	Clinical stage (growing)	0.19 (0.16; 0.21)
Classification	Age (≥67vs <67)	0.53 (0.47; 0.66)
	Sex (female vs male)	1.23 (1.08; 1.49)
	Comorbidity (growing)	1.08 (0.96; 1.20)
	True stage (growing)	0.41 (0.38; 0.45)
Survival	Age (≥67 vs <67)	1.30 (1.16; 1.40)
	Sex (female vs male)	0.87 (0.78; 0.93)
	Comorbidity (growing)	1.08 (1.02; 1.14)
	Resection status (yes vs no)	0.17 (0.15; 0.21)
	True stage (growing)	0.13 (0.08; 0.16)