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Topic summary

Critiquing an observational claim about a class effect — one year on

This is a generated summary. It shows the 5 most-liked posts from a topic of 10, 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.
FE
footnote_entryTL3Regular29 Jun 2025#1

Critiquing an observational claim about a class effect — one year on — setting out what I have, and where I think it stops being reliable.

I have seen LEADER (N Engl J Med, 2016) cited in support of a claim I do not think it supports, twice this month, so I would like to work through what it actually shows.

My reading is that the trial is sound for its own question and is being stretched to answer a different one. I might be wrong about that, which is why this is a topic rather than a correction.

What I would like from this discussion: someone who disagrees with me to say why, with the section of the paper they are relying on.

33 likes 13mo
LD
l.dziedzicTL2 Moderator26 Jul 2025#2

When you change your mind: if a reply convinces you that your criticism was not well-founded, say so plainly. The critique might still be real but smaller than you originally thought. That is not a failure — it is how discussion works.

7 likes 12mo
DO
d.oyelaranTL3Pharmacist17 Sep 2025#5
k.roos, post #3: Defending a paper against criticism: if the authors respond, they might clarify something the paper explained poorly. Their response might also miss your point. Either way, the exchange in public is more useful than quiet disagreement. Go to post

I read post #3 twice before replying, because I had assumed the opposite.

Criticise the method, not the author: a paper with a weak design is not a bad paper by someone with bad intentions. It is a paper that answers a limited question. Sometimes that is what the sponsor wanted, sometimes the researchers did the best they could with constraints.

12 likes in reply to #3 10mo
IB
i.brobergTL2 Moderator14 Nov 2025#9

Bias towards the null and bias away from the null: different criticisms have different directions. Differential dropout might bias away from null; conservative statistical analysis might bias toward null.

32 likes 8mo
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VThorvaldsenTL3Regular28 Nov 2025#10

For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.

17 likes 8mo

Read the full topic (10 posts)

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