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  "path": "/t/where-are-the-exceptional-responders/17961#post_7",
  "publishedAt": "2026-03-02T15:21:42.000Z",
  "site": "https://discourse.datamethods.org",
  "tags": [
    "here",
    "shifting goalposts"
  ],
  "textContent": "Intriguing article! (It’s available here BTW for anyone immoral enough to use SciHub.) My hot take would be that I’m actually dealing with a case of zero _denominator_ — drawing inferences from the _unreportedness_ of results. And indeed this corresponds to the ‘inversion’ you suggest.\n\nBut I can see this piece deserves to be read with some care.\n\n* * *\n\nIn terms of _uses_ for this model, then certainly its prime target would be the sponsor’s rhetoric — and specifically the shifting goalposts aspect. (The shifting mode of the Gamma distribution indeed looks like a moving goalpost.) Initially, of course, there’s lots of hope that patients will benefit. But as time goes on, this morphs implicitly into the argument that we can’t be certain that patients aren’t benefiting to some [subclinical] degree. This kind of model may serve to mark approximately where that goalpost has moved at any point in time.\n\nBeyond this, however the \\theta_c parameter in this model might help focus attention on improving clinical assessment.",
  "title": "Where are the exceptional responders?"
}