cross-posted from: https://lemmy.ml/post/1491937

Using surveys, cognitive tests and brain imaging, researchers have identified a type of depression that affects about a quarter of patients. The goal is to diagnose and treat the condition more precisely.

    • Velonie@beehaw.org
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      1 year ago

      1000 is not small at all and with a properly designed study it’s more than enough for statistical significance

        • Velonie@beehaw.org
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          1 year ago

          Yes, I’m aware. Sample sizes to get a 95% confidence interval are significantly smaller in most cases than the average person thinks. See https://en.wikipedia.org/wiki/Sample_size_determination and the section on required sample size for hypotheses tests. There’s even sample size calculators online you can find that’ll spit this number for a 95% CI out for you. Personally I think given that information, it’s pretty unlikely the author made that error in a peer reviewed paper where reviewers are certainly aware as well

          • Umbrias@beehaw.org
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            1 year ago

            Just wait until people hear about all the medical studies with sample size goals of twelve, considered an adequate sample size for medical procedure studies and medical device studies.

            • Velonie@beehaw.org
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              1 year ago

              Yeah, that’s totally fair to question. I mentioned above, but it depends on sample selection and study design moreso than the actual number 👍