• ignirtoq@fedia.io
    link
    fedilink
    arrow-up
    3
    ·
    13 hours ago

    How would you scientifically measure a difference between those two definitions?

    • Cenotaph@mander.xyz
      link
      fedilink
      English
      arrow-up
      50
      ·
      13 hours ago

      I mean, say this doctor has a 100% success rate but another doctor has 0%. Those two doctors collectively have a 50% success rate but it you have far better odds with the first doctor than the second

      • Saiwal@hub.utsukta.org
        link
        fedilink
        arrow-up
        5
        arrow-down
        4
        ·
        12 hours ago

        @Cenotaph Nope, say the first doctor did 100 successful cases, the other did 2 successful and 2 failed, then the collective would be (100+2)*100/104 = 98.07%

        So the number of cases would matter.

        • Cenotaph@mander.xyz
          link
          fedilink
          English
          arrow-up
          21
          ·
          12 hours ago

          Of course. My point was only that there is definitely a difference between an individual doctor’s success rate and the overall success rate of a procedure across all doctors, responding to the commment I replied to.

    • SkyNTP@lemmy.ml
      link
      fedilink
      English
      arrow-up
      4
      ·
      edit-2
      11 hours ago

      In a statistical regression model, that would be a variable that encodes a specific individual; although encoding hypothetical (the scientific meaning of that word, not the layperson meaning) attributes of that individual is probably functionally equivalent, more useful, and easier to conduct.

      • Knock_Knock_Lemmy_In@lemmy.world
        link
        fedilink
        English
        arrow-up
        4
        ·
        edit-2
        10 hours ago

        Attributes of the surgeons is not easier, because you need to pick the correct attributes.

        Really you just need an indicator variable showing 1 if its data from the surgeon under analysis and zero otherwise.

        Then test for that indicator variable being statistically larger than 0.