Dear all,
I am considering methods of detecting fraud in a hypothetical clinical
trial with a large number of centres, but only a few patients per
centre.
In addition, many variables will be binary.
Would Cook's D be appropriate here?
Is it possible to calculate Mahalanobis' distance in Stata in order to
detect (possibly fraudulent) inliers, outliers and near duplicates in a
dataset?
If anyone has any ideas of other ways to detect possible fraud I would
love to hear from you too!
Thanks - Rachael
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