Table 5.

Data characteristics (ROC curve).

Number of actual negative cases = 31 Number of actual positive cases = 26
Response data
Category	1	2		3	4	5
Actual Negative cases	11	12	5	1	2
Actual positive cases	1	2	4	9	10
Observed operating points
FPF	0.0000	0.645	0.968	0.2581	0.6452	1.0000
TPF	0.0000	0.3846	0.7308	0.8846	0.9615	1.0000
Initial values of parameters			Final values of parameters
A = 1.5647			Procedure converges after 6 iterations
B = 0.9591			A = 1.7403
Z(K): − 0.3718 0.6490 1.3003 1.5182			B = 1.1114
LOGL = − 83.3485			Z(K): − 0.3322 0.5665 1.1380 1.7785 LOGL = − 77.6311
Variance–covariance matrix			Correlation matrix
A 0.2089 0.1097 0.0440 0.0520 0.0367 − 0.0012			A 1.0000 0.6688 0.4215 0.4991 0.3029 − 0.0070
B 0.1097 0.1288 0.0182 0.0048 − 0.0285 − 0.0873			B 0.6688 1.0000 0.2225 0.0592 − 0.3004 − 0.6424
Z(1) 0.0440 0.0182 0.0521 0.0282 0.0200 0.0110			Z(1) 0.4215 0.2225 1.0000 0.5413 0.3309 0.1272
Z(2) 0.0520 0.0048 0.0282 0.0519 0.0425 0.0378			Z(2) 0.4991 0.0592 0.5413 1.0000 0.7050 0.4388
Z(3) 0.0367 − 0.0285 0.0200 0.0425 0.0701 0.0766			Z(3) 0.3029 − 0.3004 0.3309 0.7050 1.0000 0.7642
Z(4) − 0.0012 − 0.0873 0.0110 0.0378 0.0766 0.1432			Z(4) − 0.0070 − 0.6424 0.1272 0.4388 0.7642 1.0000
Summary of ROC curve
Area = 0.8778 Std. dev. (area) = 0.0461