Table 2. Multiple logistic regression table.

Predictor variable	Coefficient estimate	Standard error	P-valuea	OR (95% CI)
Intercept	−5.56	2.08	0.010	–
Log(length)	1.22	0.26	<0.001	3.40 (2.05, 5.64)
PESS density	−0.13	0.06	0.030	0.88 (0.77, 0.99)
min(NN5, 0.2)	4.64	1.33	<0.001	103.22 (7.61, 1400.40)
min(SF2, 10)	0.10	0.05	0.035	1.11 (1.00, 1.22)
max(FAS-ESS, 6.5)	−0.35	0.20	0.032	0.70 (0.47, 1.04)
EIE score	0.0010	0.00079	0.203	1.00 (9.99, 1.00)

Abbreviations: OR, odds ratio; CI, confidence intervals.

^aLikelihood ratio test.