Issues in the statistical detection of data fabrication and data errors in the scientific literature: simulation study and reanalysis of Carlisle, 2017
This paper evaluates a statistical method for detecting fraud or error in randomized controlled trials, finding it unreliable due to sensitivity to violated assumptions and poor performance as a screening tool.
bioRxiv · Aug 22, 2017 · PreprintScientific Communication & Education