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Paul Fickes's avatar

> In a population of 10,000 individuals this model would catch only 44 true positives, but 365 false positives. That’s ~8 false positives for every true positive.

Thanks for bringing this part up. As someone who doesn't get into statistical weeds often enough, I forget about these things. I do wonder what the equivalent screening specificity for EASA programs is. I didn't read the study, but maybe the ML program is trying to identify clients before any symptoms and EASA screenings are higher specificity due to waiting for actual symptoms of psychosis. IDK.

I don't have access to the AN capacity assessment study, but that paper, and your comment on the complexities of capacity assessments, is intriguing to me. If you are ever feeling the itch to write a digestible synopsis on those complexities, know you will have at least one reader!

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kev's avatar

> My first instinct is to say that there is some hidden variable that correlates strongly with likelihood of being on an SNRI, but I can’t think of anything all that obvious

Could it just be that clinicians see SNRIs as second line therapies, so patients on them generally have more severe / treatment resistant depression, and ketamine has larger effect sizes in more severe depression / TRD?

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