方法用的是四格表,列出的四格表如下:
求出的ROC分析结果:
Case Processing Summary | ||
阳性阴性 | Valid N (listwise) | |
Unweighted | Weighted | |
Positivea | 2 | 243.00 |
Negative | 2 | 2815.00 |
Larger values of the test result variable(s) indicate stronger evidence for a positive actual state. | ||
a. The positive actual state is 阳性. |
Area Under the Curve | ||||
Test Result Variable(s): 分类 | ||||
Area | Std. Errora | Asymptotic Sig.b | Asymptotic 95% Confidence Interval | |
Lower Bound | Upper Bound | |||
.347 | .017 | .000 | .314 | .380 |
The test result variable(s): 分类 has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased. | ||||
a. Under the nonparametric assumption | ||||
b. Null hypothesis: true area = 0.5 |
Coordinates of the Curve | ||
Test Result Variable(s): 分类 | ||
Positive if Greater Than or Equal Toa | Sensitivity | 1 - Specificity |
4.0000 | 1.000 | 1.000 |
6.5000 | .218 | .524 |
9.0000 | .000 | .000 |
The test result variable(s): 分类 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. |
从上表来看,比较的结果似乎是6.5分为最佳CUT-OFF,但导师表示表中未显示5分和8分的灵敏度和特异度没显示出来,还不太满意。
求问:
1.ROC曲线中能否没有“金标准”,直接把另一CUT-OFF作为假想金标准,两者进行比较。
2.如果可以比较的话,我采取的方法是否错误。如果错误求问分析方法。
3. 6.5分在表中显示的特异度和灵敏度,是相对5分和8分而言的,还是它自己本身的灵敏度。
半路转行,在统计学上还是新人。希望能得到诸位前辈的指点,不甚感激!!!