Dear Everyone,
I performed some tests for my logistic regression: lroc, estat class, cutoff(0.15), and estat gof, group (10).
My results are as follows:
1. lroc
Logistic model for phdv
number of observations = 10051
area under ROC curve = 0.6266
2. estat class, cutoff(0.15)
3. estat gof, group(10)
Logistic model for phdv, goodness-of-fit test
(Table collapsed on quantiles of estimated probabilities)
number of observations = 10051
number of groups = 10
Hosmer-Lemeshow chi2(8) = 4.36
Prob > chi2 = 0.8228
Please advice and help me if i can go ahead with the model. I mean if the model is good or not. I fail to draw conclusion.
Thanking you in advance
S. Rinchen
I performed some tests for my logistic regression: lroc, estat class, cutoff(0.15), and estat gof, group (10).
My results are as follows:
1. lroc
Logistic model for phdv
number of observations = 10051
area under ROC curve = 0.6266
2. estat class, cutoff(0.15)
| -------- True -------- | |||
| Classified | D | ~D | Total |
| 625 | 2615 | 3240 | |
| -699 | 6112 | 6811 | |
| Total 1324 | 8727 | 10051 | |
| Classified + if predicted Pr(D) | >= .15 | ||
| True D defined as phdv != 0 | |||
| Sensitivity | Pr( + D) | 47.21% | |
| Specificity | Pr( -~D) | 70.04% | |
| Positive predictive value | Pr( D +) | 19.29% | |
| Negative predictive value | Pr(~D -) | 89.74% | |
| False + rate for true ~D | Pr( +~D) | 29.96% | |
| False - rate for true D | Pr( - D) | 52.79% | |
| False + rate for classified + | Pr(~D +) | 80.71% | |
| False - rate for classified - | Pr( D -) | 10.26% | |
| Correctly classified | 67.03% |
3. estat gof, group(10)
Logistic model for phdv, goodness-of-fit test
(Table collapsed on quantiles of estimated probabilities)
number of observations = 10051
number of groups = 10
Hosmer-Lemeshow chi2(8) = 4.36
Prob > chi2 = 0.8228
Please advice and help me if i can go ahead with the model. I mean if the model is good or not. I fail to draw conclusion.
Thanking you in advance
S. Rinchen