. Author manuscript; available in PMC: 2013 May 22.

Published in final edited form as: J Alzheimers Dis. 2012;31(2):439–445. doi: 10.3233/JAD-2012-120082

Table 5.

Optimal Error and Area Under ROC Curve (AUC) for disease status classification. Best classifiers are highlighted.

Classification Criterion	Number of subjects	Scoring function	Class with Higher Score	AUC	Error
AD vs. Control	63 AD, 32 Control	ELISA t-tau	AD	0.778	0.225
		ELISA p-tau₁₈₁	AD	0.737	0.225
		ELISA Aβ_1–42	Control	0.868	0.169
		xMAP t-tau	AD	0.728	0.258
		xMAP p-tau	AD	0.744	0.247
		xMAP Aβ_1–42	Control	0.921	0.124
		(ELISA p-tau)/(ELISA t-tau)	Control	0.838	0.180
		(ELISA Aβ_1–42)/(ELISA t-tau)	Control	0.866	0.135
		(ELISA Aβ_1–42)/(ELISA p-tau)	Control	0.855	0.169
		(xMAP p-tau)/(xMAP t-tau)	Control	0.666	0.270
		(xMAP Aβ_1–42)/(xMAP t-tau)	Control	0.828	0.169
		(xMAP Aβ_1–42)/(xMAP p-tau)	Control	0.840	0.146