Timeline for Sensitivity and specificity for non-binary outcome
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Jan 13, 2018 at 14:25 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 25, 2016 at 13:41 | comment | added | user136151 | I don't think the ROC is appropriate or even applicable but I've been asked to do it regardless... As there is no way to dichotomise my data and create a system that would provide me with TP/TP and TN/FN categories, I think I'll just have to discuss this with my supervisor and tell her it's not the most appropriate tool to evaluate this model. | |
| Oct 25, 2016 at 13:17 | comment | added | Calimo | So I'm not sure why you'd want to apply binary classification tools. What makes you think a ROC curve would be appropriate? Why not calculate the correlation? | |
| Oct 25, 2016 at 12:41 | comment | added | user136151 | @Calimo, the pathologists' estimation is also a percentage | |
| Oct 25, 2016 at 12:15 | comment | added | Calimo | What does "the estimation given by pathologists" look like? Is that binary? | |
| Oct 25, 2016 at 12:12 | answer | added | David Ernst | timeline score: 2 | |
| Oct 25, 2016 at 10:11 | review | First posts | |||
| Oct 25, 2016 at 11:10 | |||||
| Oct 25, 2016 at 10:10 | history | asked | user136151 | CC BY-SA 3.0 |