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Topic summary

Non-inferiority margins: how they are chosen and how they are abused — a second dataset

This is a generated summary. It shows the 5 most-liked posts from a topic of 38, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
JI
j.ivaturiTL2 Moderator2 Jan 2026#2

Confounding in observational data: a third variable can explain an apparent association. In a randomised trial, randomisation balances unknown confounders. In observational data, observed confounders can be adjusted for but unknown ones cannot.

31 likes 7mo
YE
y.eriksenTL2 Moderator11 Jan 2026#6
revision_history, post #3: Having read the exchange above, I think I was wrong earlier in this topic and I want to say so plainly rather than quietly editing. The correction was fair and I had been repeating something I had not checked carefully enough. Go to post

Thank you for the correction. I have edited my earlier post with a note rather than silently, so the thread still makes sense to read. The error was mine and it was the kind that comes from remembering a figure instead of looking it up.

23 likes in reply to #3 7mo
JV
j.vandermolenTL3Regular15 Feb 2026#30
desiccant_notes, post #26: Multiplicity and multiple comparisons: if a trial tests many hypotheses, the chance of a false positive on at least one by random chance increases. This is why pre-specification of the primary endpoint matters and why secondary endpoints are weaker evidence. Go to post

Picking up post #27: that is the part I would want checked first.

I disagree with the reply above, and I think the disagreement is substantive rather than terminological.

The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.

20 likes in reply to #26 5mo
JP
j.petrovTL2 Moderator19 Feb 2026#33
PSundberg, post #5: I read post #3 twice before replying, because I had assumed the opposite. Multiplicity and multiple comparisons: if a trial tests many hypotheses, the chance of a false positive on at least one by random chance increases. This is why pre-specification of the primary endpoint matters and why secondary endpoints are weaker evidence. Go to post

I disagree with the reply above, and I think the disagreement is substantive rather than terminological.

The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.

28 likes in reply to #5 5mo
IA
id.almeidaTL2 Moderator24 Feb 2026 · edited#37

Surrogate endpoints: an endpoint that is not the outcome that matters but is measured as a stand-in. HbA1c is a surrogate for long-term glucose control and the short-term complications it prevents. Weight loss is a surrogate for metabolic health and long-term outcomes. Surrogates are useful but not identical to the endpoint that matters.

21 likes 5mo

Read the full topic (38 posts)

Promoted into the documentation commons. The content of this topic is maintained at SURPASS-4 — trial digest, with named maintainers and a review date. The promotion was discussed in doc review. Corrections are best raised against the document, which is the version that gets kept current.

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