Large-scale investigation confirms TRPM3 ion channel dysfunction in ME/CFS, 2025, Marshall-Gradisnik et al

forestglip said:
Like another study from this group that was posted here, it looks like the p-values are artificially low due to pseudoreplication. I'll just quote the last time I said it, since it's the same issue, just with the sample size changed:
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Do you think it is intentional? Or is it just difficult/unusual to avoid this, thus likely to be an accident.
It all sounded quite interesting!
 
Alinda said:
Do you think it is intentional? Or is it just difficult/unusual to avoid this, thus likely to be an accident.
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Here's another resource explaining pseudoreplication, and they say it's likely usually researchers just being unaware it's an issue:

3 Independence & pseudoreplication

cambiotraining.github.io cambiotraining.github.io
Pseudoreplication is unfortunately quite a big problem in biological and clinical research, probably because many people aren’t really aware of the issue or how to recognise whether they’re accidentally doing it in their analysis. Several review articles have investigated the incidence of pseudoreplication in published papers, and have estimated that as many as 50% of papers in various fields may suffer from this problem, including neuroscience, animal experiments and cell culture and primate research. In fields like ecology and conservation, the estimated figure is sometimes even higher.
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I don't get it. How could you do that accidentally? I'm not a scientist or a researcher, my training in statistics consists of one college course. However, it's intuitively obvious to me that if you test multiple samples per person, you need to correct for that somehow.
 
Kitty said:
Is it possible some researchers haven't done a great deal more than that?
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Even if they know, the motivations to pump up your paper seem significant. The incentive structures for sticking to the facts in a measured way seem far less albeit more worthy
 
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