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Abstract This paper presents a statistically optimal exact hypothesis testing procedure for detecting changes in sales adjusted adverse drug reaction (ADR) rates between historical and current periods, with a computer program that implements this test appended. We provide discussions and illustrations on how to monitor ADR rates for product lines that consist of several pharmacologically equivalent dosage forms.
Norwood et al. (Sat,) studied this question.