Relevant stats: >The algorithms predicted a clinical diagnosis of ASD with high specificity, sensitivity and positive predictive value, exceeding 95 percent at some ages. More about the metrics you care about[1] Edit: Many people in this thread are talking about bayesian stats that it appears they don't full appreciate or understand. They're saying that 95% statistical accuracy is commendable. 95% sensitivity and 95%…
Thanks for writing this summary. Plenty of people get the wrong idea when it comes to test accuracy for topics like health diagnosis. In the case of this particular topic it does seem like the outlined test could be another tool that doctors could utilize. If for instance a child has shown a change in developmental milestones then that observation comes with it's own (somewhat doctor specific) sensitivity and specifi…
Ideally what would happen is that the doctor would use their judgement to narrow down the candidates who the test is applied to who have strong priors of Autism. That would substantively increase PPV. You'd need a ~50% prevalence before you get to 95% PPV