Table 3.

Coverage probabilities of the 95% confidence interval for the Youden index J under the mixture model.

n1	n2	J	${\sigma }_1^2$
			0.5	1	3	5
10	10	0.2	0.9665	0.9640	0.9640	0.9640
		0.4	0.9660	0.9615	0.9620	0.9615
		0.6	0.9605	0.9600	0.9560	0.9535
		0.8	0.9530	0.9550	0.9580	0.9540
		0.9	0.9475	0.9505	0.9520	0.9470
20	20	0.2	0.9500	0.9430	0.9480	0.9435
		0.4	0.9430	0.9420	0.9455	0.9470
		0.6	0.9350	0.9330	0.9365	0.9380
		0.8	0.9240	0.9240	0.9330	0.9320
		0.9	0.9170	0.9180	0.9265	0.9235
10	30	0.2	0.9510	0.9455	0.9525	0.9535
		0.4	0.9500	0.9500	0.9520	0.9485
		0.6	0.9475	0.9415	0.9430	0.9455
		0.8	0.9425	0.9440	0.9440	0.9420
		0.9	0.9385	0.9420	0.9410	0.9435
50	50	0.2	0.9525	0.9520	0.9370	0.9310
		0.4	0.9485	0.9510	0.9375	0.9380
		0.6	0.9420	0.9395	0.9390	0.9385
		0.8	0.9155	0.9165	0.9170	0.9200
		0.9	0.9000	0.8995	0.9035	0.9095
100	100	0.2	0.9410	0.9480	0.9350	0.9300
		0.4	0.9370	0.9420	0.9390	0.9385
		0.6	0.9165	0.9190	0.9255	0.9285
		0.8	0.8905	0.8910	0.8940	0.8975
		0.9	0.8765	0.8740	0.8805	0.8830

The mixture model is defined as $Y_i~(1-B_i)N({\mu }_i,\frac{1}{1.1}{\sigma }_i^2)+B_{i}N({\mu }_i,\frac{2}{1.1}{\sigma }_i^2)$ where B_i ~ Bernoulli(0.1) for i = 1, 2.