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st: Fraud methods in Stata


From   "Williams, Rachael" <Rachael.Williams@mhra.gsi.gov.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Fraud methods in Stata
Date   Fri, 26 Sep 2008 16:20:51 +0100

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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