. Author manuscript; available in PMC: 2009 Feb 20.

Published in final edited form as: Proteomics Clin Appl. 2008 Oct 10;2(12):1575–1585. doi: 10.1002/prca.200780095

Table 5.

Results of logistic regression with permutation resampling, using panels of from two to four markers^a)

Marker panel	ROC AUCs^b)
	Empirical^c) (95% CI)	Binormal^d) (95% CI)
{IL-8 HGF}	0.772 (0.599–0.876)	0.764 (0.596–0.868)
{IL-8, HGF, MIG}	0.757 (0.583–0.865)	0.747 (0.577–0.855)
{IL-8, HGF, MIG, IL-12p40}	0.803 (0.624–0.901)	0.810 (0.651–0.901)
IL-5 (best univariate marker)	0.679 (0.487–0.808)	0.651 (0.472–0.779)

^a)

Markers eligible for panel membership have the four highest r²s in Table 4. For comparison purposes, the best univariate marker (IL-5) was also subjected to logistic regression with permutation resampling.

^b)

ROC curves were constructed from each sample’s average of test-set prediction probabilities derived from the resampling.

^c)

AUCs of empirical ROC curves are determined from the actual prediction probabilities for each patient.

^d)

AUCs of binormal ROC curves (shown in Fig. 2) are calculated from fitting binormal-model continuous curves to the patient prediction probabilities.