Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?

Table 7

Parameters of logistic regression for screening lung cancer with the best marker combinations.

		B	SE	Wald		OR
Healthy people	CEA	0.577	0.049	139.37	≤0.001	1.781
	CA125	0.035	0.005	60.16	≤0.001	1.036
	Intercept	−2.465	0.145	287.19	≤0.001	0.085
Male patients with pneumonia	CEA	0.008	0.003	8.20	0.004	1.008
	CY211	0.068	0.017	16.12	≤0.001	1.070
	Intercept	−0.237	0.103	5.25	0.022	0.789
Female patients with pneumonia	CEA	0.064	0.013	23.89	≤0.001	1.066
	Intercept	−0.803	0.109	54.21	≤0.001	0.448

SE: standard error; OR: odds ratio.