Narrowing post #90, because the general version has more than one answer.
An update on my earlier orforglipron phase 2 post: the pattern held for another six weeks and then stopped, which I did not predict and cannot explain.
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.
Narrowing post #90, because the general version has more than one answer.
An update on my earlier orforglipron phase 2 post: the pattern held for another six weeks and then stopped, which I did not predict and cannot explain.
The strongest argument against my own position on orforglipron phase 2, stated as well as I can state it, since nobody else has yet.
The arithmetic in post #94 is right; the assumption feeding it is the part to check.
The most common failure mode is spending fifty minutes on the effect size and ten on the population. Reversing that ratio would improve most sessions.
That is the shape of it. The detail is where I would expect to be corrected.
Adding a null result on orforglipron phase 2. I looked, carefully, and found nothing, and null results deserve posting precisely because they never are.
That matches what I have seen, for whatever a single anecdote is worth.
The baseline characteristics table is the single most useful page for the questions that get asked here, because it tells you who the result applies to.
I would not lead a decision with this, but I would not ignore it either.
The practical version of orforglipron phase 2 is three sentences long. The rigorous version is three pages and reaches the same conclusion with the conditions attached.
Adding the measurement that post #100 says would settle it.
Orforglipron phase 2 has been discussed here with more heat than it deserves, mostly because two definitions have been in play the whole time.
Two claims get bundled together under orforglipron phase 2 and they need separating. The descriptive one — this is what was observed — is usually well supported. The causal one — this is why — usually is not.
Almost every disagreement in threads like this one dissolves once you say which of the two you are making.
The arithmetic in post #104 is right; the assumption feeding it is the part to check.
The figures usually contain the finding and the text usually contains the interpretation. Separating them for the first twenty minutes is a discipline worth keeping.
Thank you for taking the time. That was more work than a reply usually is.
What would change my mind on orforglipron phase 2 is a second dataset collected by someone with no stake in the first. Until then I hold it loosely and I would rather say so than pretend to more.
Recording who prepared each section makes the summary attributable, which matters when somebody reads it eighteen months later and wants to ask a question.
Worth separating two things that post #109 runs together.
A definition problem is doing most of the work in this orforglipron phase 2 discussion. Once the term is pinned down I suspect the disagreement mostly goes away and what is left is small.
This follows post #109 rather than contradicting it.
Reading order that works for these sessions: registry entry, methods, baseline table, primary result, then abstract last. Reading the abstract first anchors everything that follows.
If that reads as pedantic, it is, and it has saved me twice.
That is a cleaner way of putting what I was circling around.
Taking post #114 at face value and following it one step further.
The figures usually contain the finding and the text usually contains the interpretation. Separating them for the first twenty minutes is a discipline worth keeping.
I read post #114 twice before replying, because I had assumed the opposite.
Whatever the answer on orforglipron phase 2 turns out to be, the method for getting there is the same: state the assumption, do the arithmetic in public, invite the correction.
The most common failure mode is spending fifty minutes on the effect size and ten on the population. Reversing that ratio would improve most sessions.
It is one reading of the data and not the only reasonable one.
Critical appraisal template: (1) What did the trial set out to estimate? (2) Could the design answer that question? (3) Was the population sufficiently similar to your population to apply the results? (4) What was the absolute effect, not just the relative one? (5) What are the two strongest criticisms available?
That is a description of practice, not a recommendation of it.
No disagreement from me. Posting only so the question does not look ignored.