Carl T. Bergstrom on Nostr: I just read the best paper I've seen yet this year, Sam Zhang's work on confusion ...
I just read the best paper I've seen yet this year, Sam Zhang's work on confusion between inferential uncertainty and outcome variability.
In the context of a trial or experiment, inferential uncertainty refers to our statistical confidence that two groups are different. Outcome variability refers to how much variation there is in individual outcomes within a single group.
IMO confusion about this is ubiquitous in biomedical science.
Here's the paper:
https://osf.io/preprints/socarxiv/5tcgs/Published at
2023-04-27 00:18:56Event JSON
{
"id": "c13ad23bbb2edb34c2cf1288a1fb898a970a68e8908825bbb18eb1f58ee7d7b0",
"pubkey": "ac5404833d7aff6cebf4afd632d367ccf064470e9ad728b47bce8be6bfbb958a",
"created_at": 1682554736,
"kind": 1,
"tags": [
[
"proxy",
"https://fediscience.org/users/ct_bergstrom/statuses/110267907188002904",
"activitypub"
]
],
"content": "I just read the best paper I've seen yet this year, Sam Zhang's work on confusion between inferential uncertainty and outcome variability. \n\nIn the context of a trial or experiment, inferential uncertainty refers to our statistical confidence that two groups are different. Outcome variability refers to how much variation there is in individual outcomes within a single group.\n\nIMO confusion about this is ubiquitous in biomedical science. \n\nHere's the paper: https://osf.io/preprints/socarxiv/5tcgs/",
"sig": "b2ed19c171e510fede07b05cbaa885931fb258cf857675c795ff94c251011be7ab5e9c72cba0a8bd6dde09deca67beddc090357c588d513f99e24e191851fea6"
}