Testing for adverse drug reactions using prescription event monitoring.


Andrew, J.E., Prescott, P., Smith, T.M.F., Inman, W.H.W. and Kubota, K. (1996) Testing for adverse drug reactions using prescription event monitoring. Statistics in Medicine, 15, (10), 987-1002. (doi:10.1002/(SICI)1097-0258(19960530)15:10<987::AID-SIM210>3.0.CO;2-G).

Download

Full text not available from this repository.

Description/Abstract

The Drug Safety Research Unit's current methods of investigating adverse drug reactions using prescription event monitoring are discussed. The statistical properties of estimators of rates of occurrence of events in post-marketing surveillance using prescription event monitoring are considered, and a simple model is proposed based on an exponential distribution of time to first occurrence of the event. It is shown that current methodology closely relates to the use of maximum likelihood estimation under this assumption and the distributions of the estimators are shown to be approximately normal, which allows simple confidence intervals and tests to be developed. Two recent applications are considered and corresponding simulations are presented to verify the approximate properties of the test statistics, based on ratios of rates over time and between drugs. Sources of bias in the rates and rate ratios are considered, including under-reporting in later months. A rule-of-thumb, developed from many years experience, is shown to be generally conservative, except when these under-reporting biases are large.

Item Type: Article
ISSNs: 0277-6715 (print)
Related URLs:
Subjects: Q Science > QA Mathematics
R Medicine > RS Pharmacy and materia medica
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 29972
Date Deposited: 04 May 2007
Last Modified: 27 Mar 2014 18:18
URI: http://eprints.soton.ac.uk/id/eprint/29972

Actions (login required)

View Item View Item