Estimation of Risk Factors Affecting Screening Outcomes of Prostate Cancer Using the Bayesian Ordinal Logistic Model

Table 1

Parameter estimates for each outcome of prostate cancer.

Variables	0 vs. 1, 2, 3		0, 1 vs. 2, 3		0, 1, 2 vs. 3
	Estimate	Post.prob	Estimate	Post.prob	Estimate	Post.prob
Threshold	4.7141	1.0000	−1.9944	1.0000	0.6053	0.9895
Age	0.8319	0.9452	2.4232	1.0000	0.6741	0.9928
Traces of family
History	2.8214	0.9862	2.8307	1.0000	1.0832	0.9992
Weight control	−1.5621	1.0000	0.9845	1.0000	−0.0255	0.5720
Breast and ovarian
Syndrome	0.7685	0.9950	2.2911	1.0000	0.7251	1.0000