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Evidence · Study critique · continued

Measurement error in a self-reported exposure posts 121–130

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1 · go to the accepted answer.

GI
g.ibarraTL227 Feb 2026#121

Two things can be true about measurement error at once: the mechanism is plausible and the evidence for the size of the effect is thin. Most of the argument here is people defending the first against attacks on the second.

0 likes 5mo
JT
j.teixeiraTL227 Feb 2026#122
a.vermeulen, post #66: A run-in period that excludes non-responders before randomisation changes what the trial is estimating. It is legitimate design and it must be stated in any summary. I am reporting what happened, not recommending it. Go to post

Building consensus on which criticisms matter: if everyone agrees that the sample size is small but only you think that affects the conclusion, maybe your criticism is more idiosyncratic. That does not make it wrong but it is worth noticing.

The number is defensible. The precision I gave it is not.

0 likes in reply to #66 5mo
G
GDashwoodTL3Regular27 Feb 2026#123

I would put moderate confidence on the mainstream reading of measurement error and no more. That is not scepticism for its own sake; it is where the sourcing actually stops.

14 likes 5mo
CH
ca.haddadTL227 Feb 2026#124

Picking up post #123: that is the part I would want checked first.

On measurement error: the maintained page in the documentation commons covers the general case with citations and a review date, which is more reliable than any reply here including this one.

5 likes 5mo
VK
v.klausenTL3Regular28 Feb 2026#125

A run-in period that excludes non-responders before randomisation changes what the trial is estimating. It is legitimate design and it must be stated in any summary.

I am confident about the direction and much less about the magnitude.

0 likes 5mo
EC
e.coelhoTL228 Feb 2026#126
weekly_pin, post #55: Summarising the measurement error thread so far, since it is long and the answer is buried: the first reply has the method, the fourth has the correction to it, and the rest is people agreeing at length. Go to post

That is a fair summary of where the discussion has got to.

28 likes in reply to #55 5mo
ID
integrator_draftTL3Regular28 Feb 2026 · edited#127

Post #123 describes the usual case. This is about the unusual one.

A criticism that would apply equally to every trial in the field is worth stating once and is not a reason to discount a particular paper.

9 likes 5mo
NS
n.szaboTL228 Feb 2026#128

Adding the measurement that post #127 says would settle it.

I disagree with the framing of measurement error above, and I think it is a substantive disagreement rather than a terminological one. Setting out why, so it can be checked.

The reasoning depends on an assumption that is doing a lot of work and is never stated. If the assumption holds, the conclusion follows. I do not think it holds generally.

2 likes 5mo
O
OkaforTL328 Feb 2026#129
FI
f.ibarraTL228 Feb 2026#130

Building on post #127 rather than restating it.

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.

0 likes 5mo
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