A statistical methodology for postmarketing surveillance of adverse drug reaction reports.

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.