Abstract
In 2017, J. B. Carlisle has proposed a method for fraud detection in randomized controlled trials based on a comparison of reported baseline data between treatment groups. While Carlisle has only used the method for continuous variables, some authors have recently employed a naive adaption of the method for dichotomous variables. We explain why such adaptation leads to p-values that are wrong by orders of magnitude and we make a simple concrete proposal for correction of the method.
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