谢谢二楼提醒，我把数据及结果列出来：我的原始数据的自变量—雌激素有171个，而在结果里只有149个
雌激素 转归
1.30000 1
2.58000 1
3.19000 1
3.90000 1
15.26000 1
3.70000 1
1.82000 1
1.38000 1
2.23000 1
5.80000 1
1.24000 1
1.03000 1
2.52000 1
3.41000 1
1.03000 1
7.50000 1
10.64000 1
3.93000 1
4.17000 1
6.25000 1
6.79000 1
8.06000 1
6.78000 1
8.02000 1
8.23000 1
3.56000 1
18.67000 0
2.28000 1
9.11000 1
4.22000 0
3.95000 1
1.04000 1
1.08000 1
10.56000 0
8.80000 1
5.30000 1
3.50000 1
20.92000 1
2.86000 1
6.02000 1
.24000 1
2.63000 1
8.98000 1
12.62000 1
.75000 1
1.57000 1
15.60000 0
.51300 1
4.29000 0
8.83000 1
3.60000 1
2.90000 1
7.13000 1
2.95000 1
9.02000 1
8.02000 1
38.43000 1
3.85000 1
3.72000 1
7.51000 1
4.87000 1
1.42000 1
7.15000 1
24.83000 0
3.57000 1
7.56000 0
16.18000 0
17.00000 0
18.45000 0
4.84000 1
.39000 1
7.58000 1
3.38000 1
9.72000 1
16.89000 1
2.59000 1
11.53000 1
31.32000 1
2.40000 1
21.96000 0
1.75000 1
2.70000 1
4.17000 1
1.04000 1
11.83000 1
1.87000 1
5.11000 1
18.04000 0
1.27000 1
3.78000 1
1.57000 1
6.89000 0
1.31000 1
7.95000 0
2.23000 1
6.70000 1
12.25000 0
1.65000 1
4.56000 0
13.55000 1
8.98000 1
1.20000 1
22.71000 0
5.45000 1
3.68000 1
2.50000 0
5.70000 1
1.39000 1
4.50000 1
18.67000 0
2.70000 1
8.45000 0
6.87000 1
6.59000 1
3.67000 1
9.45000 1
8.50000 1
9.20000 1
2.47000 1
6.26000 1
3.20000 1
6.96000 1
3.10000 1
4.56000 1
5.60000 1
9.25000 0
6.78000 1
5.27000 1
6.78000 0
5.30000 1
2.05000 1
3.05000 1
19.30000 1
5.32000 1
8.30000 1
3.99000 0
2.92000 1
7.80000 0
4.15000 0
1.70000 1
.28000 0
3.02000 1
9.05000 1
11.25000 1
6.09000 1
24.85000 1
4.79000 1
7.30000 1
5.60000 1
20.39000 1
6.02000 1
8.50000 0
6.92000 1
8.63000 1
9.20000 1
10.00000 1
3.93000 1
12.25000 1
20.08000 0
7.50000 1
.59000 1
2.18000 0
3.37000 1
3.46000 1
8.06000 0
8.30000 1
1.08000 0
2.08000 0
10.11000 0
2.48000 1
11.84000 0
结果如下：
Coordinates of the Curve
Test Result Variable(s): 雌激素
Positive if
Greater
Than or
Equal
To(a) Sensitivity 1 - Specificity
-.7600 1.000 1.000
.2600 1.000 .993
.3350 .971 .993
.4515 .971 .985
.5515 .971 .978
.6700 .971 .971
.8900 .971 .964
1.0350 .971 .949
1.0600 .971 .934
1.1400 .941 .927
1.2200 .941 .920
1.2550 .941 .912
1.2850 .941 .905
1.3050 .941 .898
1.3450 .941 .891
1.3850 .941 .883
1.4050 .941 .876
1.4950 .941 .869
1.6100 .941 .854
1.6750 .941 .847
1.7250 .941 .839
1.7850 .941 .832
1.8450 .941 .825
1.9600 .941 .818
2.0650 .941 .810
2.1300 .912 .810
2.2050 .882 .810
2.2550 .882 .796
2.3400 .882 .788
2.4350 .882 .781
2.4750 .882 .774
2.4900 .882 .766
2.5100 .853 .766
2.5500 .853 .759
2.5850 .853 .752
2.6100 .853 .745
2.6650 .853 .737
2.7800 .853 .723
2.8800 .853 .715
2.9100 .853 .708
2.9350 .853 .701
2.9850 .853 .693
3.0350 .853 .686
3.0750 .853 .679
3.1450 .853 .672
3.1950 .853 .664
3.2850 .853 .657
3.3750 .853 .650
3.3950 .853 .642
3.4350 .853 .635
3.4800 .853 .628
3.5300 .853 .620
3.5650 .853 .613
3.5850 .853 .606
3.6350 .853 .599
3.6750 .853 .591
3.6900 .853 .584
3.7100 .853 .577
3.7500 .853 .569
3.8150 .853 .562
3.8750 .853 .555
3.9150 .853 .547
3.9400 .853 .533
3.9700 .853 .526
4.0700 .824 .526
4.1600 .794 .526
4.1950 .794 .511
4.2550 .765 .511
4.3950 .735 .511
4.5300 .735 .504
4.6750 .706 .496
4.8150 .706 .489
4.8550 .706 .482
4.9900 .706 .474
5.1900 .706 .467
5.2850 .706 .460
5.3100 .706 .445
5.3850 .706 .438
5.5250 .706 .431
5.6500 .706 .416
5.7500 .706 .409
5.9100 .706 .401
6.0550 .706 .387
6.1700 .706 .380
6.2550 .706 .372
6.4250 .706 .365
6.6450 .706 .358
6.7400 .706 .350
6.7850 .676 .336
6.8300 .676 .328
6.8800 .676 .321
6.9050 .647 .321
6.9400 .647 .314
7.0450 .647 .307
7.1400 .647 .299
7.2250 .647 .292
7.4000 .647 .285
7.5050 .647 .270
7.5350 .647 .263
7.5700 .618 .263
7.6900 .618 .255
7.8750 .588 .255
7.9850 .559 .255
8.0400 .559 .241
8.1450 .529 .234
8.2650 .529 .226
8.3750 .529 .212
8.4750 .500 .212
8.5650 .471 .204
8.7150 .471 .197
8.8150 .471 .190
8.9050 .471 .182
9.0000 .471 .168
9.0350 .471 .161
9.0800 .471 .153
9.1550 .471 .146
9.2250 .471 .131
9.3500 .441 .131
9.5850 .441 .124
9.8600 .441 .117
10.0550 .441 .109
10.3350 .412 .109
10.6000 .382 .109
10.9450 .382 .102
11.3900 .382 .095
11.6800 .382 .088
11.8350 .382 .080
12.0450 .353 .080
12.4350 .324 .073
13.0850 .324 .066
14.4050 .324 .058
15.4300 .324 .051
15.8900 .294 .051
16.5350 .265 .051
16.9450 .265 .044
17.5200 .235 .044
18.2450 .206 .044
18.5600 .176 .044
18.9850 .118 .044
19.6900 .118 .036
20.2350 .088 .036
20.6550 .088 .029
21.4400 .088 .022
22.3350 .059 .022
23.7700 .029 .022
24.8400 .000 .022
28.0850 .000 .015
34.8750 .000 .007
39.4300 .000 .000
The test result variable(s): 雌激素 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.
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