An English anaesthetist has developed a statistical method to spot indications of fraud in medical research.
I fully expect official attempt to unperson this man 😀
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Good. Although, I wonder if publishing details of that statistical method might make it easier for fraudsters in future. Also I seem to remember Natalie blogging about the scandal in which sub-postmasters were wrongly convicted of fraud on the basis of statistical analysis. It would be horrible if it turned out that that Japanese guy was telling the truth.
Or, if they’re really mad, they might attempt to unman this person.
@Perry
Possibly. But not, I think by the journal editors. From what I hear and read, they are desperate to reduce fraud because it’s embarrassing for them.
Several statisticians have weighed in on the replication crisis, and outright fraud is a part (but not all) of that.
The rest includes: trawling for small p values (throwing random hypotheses at your data until you find one with a suitably small p-value); inadequate sample size; and low power tests (where the chance of seeing what you’ve seen under the alternative hypothesis/es is comparable to that under the null).
Re that English anaesthetist
But the Ponderwall article is dated 10 October 2019. Perhaps (we might hope) John Carlisle has applied his techniques to the Covid clinical trials, and results will be released sometime very soon? I also have a flock of pigs ready for a formation fly-past.