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Topic summary

Coming back to: Measurement error in a self-reported exposure

This is a generated summary. It shows the 5 most-liked posts from a topic of 28, 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.
HB
h.bhattacharyaTL221 Apr 2026#8
buffer_review, post #7: Statistical significance and clinical importance are different and both are needed. A significant difference below the minimal important difference is a real finding of no practical consequence. The right answer here may simply be that it has not been measured. Go to post

The most useful thing anyone has posted about Measurement error in this category was a table of what had been measured and by whom. That is what I would want again.

22 likes in reply to #7 3mo
T
ThibodeauTL3Regular22 Apr 2026#11

Attrition is the failure mode most likely to invalidate a result and the least likely to be discussed. Differential attrition between arms is the specific thing to look for.

I would want to see it done twice before believing it once.

32 likes 3mo
C
CSagredoTL3Regular24 Apr 2026#15

This follows post #13 rather than contradicting it.

The version of Measurement error that I was taught turned out to be a teaching simplification. Useful, and not true in the way I had assumed it was.

24 likes 3mo
FF
f.fontaineTL227 Apr 2026#22

Adding the measurement that post #19 says would settle it.

Generalisability and validity are separate axes. A trial can be internally impeccable and still tell you nothing about the person asking.

Where I would look next, rather than where I would stop.

24 likes 3mo
CB
c.balogunTL228 Apr 2026#26

Picking up post #23: that is the part I would want checked first.

Criticism is more useful when it is narrower. "The trial answers a different question from the one being asked" is actionable; "the trial is flawed" is not.

That is the honest state of it as of this week.

32 likes 3mo

Read the full topic (28 posts)

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