4 ms·
> optimal prediction models achieved accuracies of 0.75±0.22 for women and 0.70±0.10 for men For a clinician, sensitivity and specificity are much more useful.
by kelseyfrog 3y ago
> optimal prediction models achieved accuracies of 0.75±0.22 for women and 0.70±0.10 for men
For a clinician, sensitivity and specificity are much more useful. It's too bad they didn't publish these.
- dragonwriter 3y agoTrue, but accuracy tells us something, and an accuracy of 0.75±0.22 tells us that what we know is very close to “we have reasonable confidence that it is at least very slightly better than a coin flip”.
- jncfhnb 3y ago“You don’t have diabetes” is better than a coin flip
- cauliflower2718 3y agoIf 75% have diabetes (or don't have diabetes -- either way), then 75% accuracy is also the accuracy of a naive coin flip. That is to say, don't compare to the accuracy of an even coin flip; compare to the accuracy of a coin flip that flips according to the proportion of the people with the attribute you care about.
- dllthomas 3y ago> If 75% have diabetes (or don't have diabetes -- either way), then 75% accuracy is also the accuracy of a naive coin flip. I don't think that's right. Always answering yes is going to have 75% accuracy if the prevalence is 75%, but always answering no will have 25% accuracy, and the coin flip will pick both of those equally (and uncorrelated with whether the individual has diabetes or not).