Competitive Risk Model for Specific Mortality Prediction in Patients with Bladder Cancer: A Population-Based Cohort Study with Machine Learning

Table 2

Univariate and multivariate competitive risk model.

Factors	Univariate analysis			Multivariate analysis
	HR (95%CI)	Z		HR (95%CI)	Z
Age	1.02(1.02–1.03)	16.4	<0.001	1.024(1.021–1.027)	15.152	<0.001
Marriage	1.16(1.13–1.19)	12	<0.001	1.062(1.032–1.092)	4.148	<0.001
Sex	0.74(0.69–0.78)	−9.5	<0.001	0.902(0.84–0.969)	−2.815	0.005
Race	1.10(1.04–1.16)	3.24	0.0012
Primary	0.98(0.96–1.00)	−2.09	0.037	0.977(0.957–0.998)	−2.197	0.028
Grade	1.98(1.92–2.04)	41.9	<0.001	1.223(1.174–1.275)	9.563	<0.001
Behav	2.77(2.67–2.88)	53.4	<0.001	1.41(1.336–1.488)	12.501	<0.001
Stage	2.21(2.17–2.25)	84.2	<0.001	1.937(1.823–2.058)	21.309	<0.001
T	2.15(2.11–2.20)	78.2	<0.001	1.136(1.078–1.198)	4.725	<0.001
N	2.23(2.16–2.31)	46.5	<0.001
M	9.17(8.39–10.00)	49	<0.001
Surgery	1.27(1.24–1.29)	25.6	<0.001	0.909(0.884–0.935)	−6.688	<0.001
Radiation	0.29(0.26–0.31)	−31.3	<0.001
Chemotherapy	0.69(0.64–0.72)	−13	<0.001	1.234(1.153–1.32)	6.069	<0.001
Size	1.57(1.53–1.61)	33.1	<0.001	1.214(1.174–1.255)	11.272	<0.001
Number	1.12(1.05–1.18)	3.65	0.00026	0.916(0.858–0.978)	−2.629	0.009