Table 1:

Analysis of classification errors: training sets^a

	MS vs HC	MS vs OND	OND vs HC
Sen %	70.37	70.37	45
95% CI (Sen)	58.19–82.55	58.19–82.55	23.20–66.80
Spe %	70.97	55	70.97
95% CI (Spe)	54.99–86.95	33.20–76.80	54.99–86.95
FP %	29.03	45	29.03
95% CI (FP)	13.03–45.01	23.20–66.80	13.05–45.01
FN %	29.63	29.63	55
95% CI (FN)	17.45–41.81	17.45–41.81	33.20–76.80
PPV %	80.85	80.85	50
95% CI (PPV)	69.60–92.10	69.60–92.10	26.90–73.10
NPV %	57.89	40.74	67
95% CI (NPV)	42.20–73.59	22.21–59.27	50.58–82.75
OR	5.81	2.90	2
95% CI (OR)	2.20–15.33	1.01–8.34	0.62–6.47

Note—Sen indicates sensitivity; Spe, specificity; FP, false-positive; FN, false-negative; NPV, negative predictive value; PPV, positive predictive value.

^aThe columns refer to each comparison between the observed (ie, training) groups.