Test Result Variable(s) / Sensitivity / 1 - Specificity
max1 / 4.0000 / 1.000 / 1.000
5.5500 / 1.000 / .923
6.4500 / 1.000 / .769
6.9000 / .958 / .692
7.1000 / .875 / .692
7.6500 / .833 / .615
8.2000 / .792 / .615
8.5500 / .792 / .538
8.9000 / .750 / .538
9.4000 / .667 / .538
9.9000 / .625 / .538
10.1500 / .583 / .538
10.3500 / .542 / .538
10.5500 / .500 / .538
10.9000 / .458 / .538
11.2500 / .417 / .538
11.4500 / .375 / .538
11.5500 / .375 / .385
11.7500 / .333 / .385
11.9500 / .292 / .385
12.1000 / .250 / .385
12.9500 / .208 / .385
13.8500 / .167 / .385
14.0500 / .167 / .308
15.5500 / .125 / .308
17.0500 / .083 / .308
17.1700 / .083 / .231
17.4700 / .042 / .231
17.8500 / .042 / .077
20.2500 / .042 / .000
23.5000 / .000 / .000
max3 / -1.0857 / 1.000 / 1.000
-.0286 / .958 / 1.000
.1126 / .958 / .923
.2153 / .958 / .769
.2405 / .958 / .692
.2478 / .917 / .692
.2628 / .917 / .538
.2814 / .917 / .462
.2929 / .875 / .462
.3011 / .875 / .385
.3178 / .833 / .385
.3406 / .833 / .308
.3517 / .833 / .154
.3611 / .792 / .154
.3672 / .750 / .154
.3730 / .750 / .077
.4076 / .708 / .077
.4457 / .667 / .077
.4576 / .625 / .077
.4656 / .583 / .077
.4729 / .542 / .077
.4783 / .500 / .077
.4838 / .458 / .077
.4875 / .417 / .077
.4923 / .375 / .077
.5062 / .333 / .077
.5383 / .333 / .000
.5650 / .292 / .000
.5770 / .250 / .000
.5851 / .208 / .000
.6296 / .167 / .000
.6835 / .125 / .000
.7527 / .083 / .000
.8356 / .042 / .000
1.8596 / .000 / .000
mean1 / 2.2700 / 1.000 / 1.000
3.5350 / 1.000 / .923
3.8500 / .958 / .923
4.1000 / .958 / .846
4.4500 / .917 / .846
4.8000 / .917 / .692
5.1000 / .833 / .692
5.3000 / .833 / .615
5.5000 / .833 / .538
5.7500 / .792 / .538
5.9500 / .750 / .538
6.1000 / .708 / .538
6.2500 / .667 / .538
6.4000 / .625 / .538
6.5500 / .583 / .538
6.7000 / .542 / .538
6.9000 / .500 / .538
7.2000 / .375 / .538
7.5000 / .333 / .538
7.8000 / .333 / .385
8.0500 / .292 / .385
8.1500 / .250 / .385
8.2500 / .208 / .385
8.4500 / .167 / .385
8.8000 / .125 / .385
9.1000 / .125 / .308
9.4000 / .042 / .308
9.8000 / .000 / .308
11.5000 / .000 / .154
14.0000 / .000 / .000
mean3 / -1.3684 / 1.000 / 1.000
-.1425 / .958 / 1.000
.0917 / .917 / 1.000
.1056 / .917 / .923
.1274 / .917 / .846
.1697 / .917 / .769
.2031 / .917 / .615
.2237 / .917 / .538
.2481 / .917 / .462
.2835 / .917 / .385
.3077 / .917 / .308
.3233 / .917 / .231
.3395 / .875 / .231
.3567 / .833 / .231
.3791 / .792 / .231
.3846 / .792 / .231
.3973 / .792 / .077
.4171 / .792 / .000
.4331 / .750 / .000
.4439 / .708 / .000
.4690 / .667 / .000
.4922 / .625 / .000
.4962 / .583 / .000
.5100 / .458 / .000
.5283 / .417 / .000
.5400 / .375 / .000
.5459 / .333 / .000
.5492 / .292 / .000
.5898 / .250 / .000
.6362 / .208 / .000
.6450 / .167 / .000
.6551 / .125 / .000
.6649 / .083 / .000
.6762 / .042 / .000
1.6857 / .000 / .000
MTV1 / 11.1508 / 1.000 / 1.000
15.2065 / .958 / 1.000
19.1441 / .917 / 1.000
20.8888 / .875 / 1.000
22.7248 / .833 / 1.000
24.0805 / .792 / 1.000
24.8604 / .750 / 1.000
25.3856 / .750 / .923
26.6444 / .708 / .923
28.3291 / .667 / .923
29.6480 / .625 / .923
30.7272 / .625 / .846
31.1081 / .625 / .769
31.9150 / .625 / .692
32.7174 / .583 / .692
32.8738 / .542 / .692
33.8601 / .542 / .615
35.2601 / .542 / .538
36.0145 / .500 / .538
36.8585 / .500 / .462
38.1696 / .458 / .462
40.4179 / .417 / .462
42.2156 / .375 / .462
45.2306 / .375 / .385
49.5023 / .333 / .385
53.8070 / .292 / .385
58.6941 / .250 / .385
61.3615 / .250 / .308
67.3094 / .250 / .231
77.7580 / .250 / .154
82.9048 / .250 / .077
83.8368 / .250 / .000
84.9311 / .208 / .000
88.1662 / .167 / .000
93.4532 / .125 / .000
139.0311 / .083 / .000
212.4721 / .042 / .000
243.6302 / .000 / .000
MTV3 / .0000 / 1.000 / 1.000
.1108 / 1.000 / .923
.1296 / 1.000 / .846
.1383 / 1.000 / .769
.1484 / .958 / .769
.1709 / .958 / .692
.2019 / .958 / .615
.2128 / .958 / .538
.2154 / .958 / .462
.2330 / .958 / .385
.2523 / .958 / .308
.2604 / .917 / .308
.2665 / .917 / .231
.2970 / .917 / .154
.3271 / .875 / .154
.3318 / .833 / .154
.3387 / .792 / .154
.3502 / .750 / .154
.3759 / .708 / .154
.4012 / .708 / .077
.4195 / .708 / .000
.4464 / .667 / .000
.4701 / .625 / .000
.4787 / .583 / .000
.4824 / .542 / .000
.4863 / .500 / .000
.4877 / .458 / .000
.4918 / .417 / .000
.5069 / .375 / .000
.5205 / .333 / .000
.5244 / .292 / .000
.5321 / .250 / .000
.5759 / .208 / .000
.6180 / .167 / .000
.6227 / .125 / .000
.6321 / .083 / .000
.6928 / .042 / .000
1.0000 / .000 / .000
The test result variable(s): max1 has at least one tie between the positive actual state group and the negative actual state group.
a. The smallest cutoff value is the minimum observed test value minus 1, and the largest cutoff value is the maximum observed test value plus 1. All the other cutoff values are the averages of two consecutive ordered observed test values.