Using High-Dimensional Propensity Scores to Automate Confounding Control in a Distributed Medical Product Safety Surveillance System

Project Title	Using High-Dimensional Propensity Scores to Automate Confounding Control in a Distributed Medical Product Safety Surveillance System
Date	Sunday, February 5, 2012
Location	Pharmacoepidemiology and Drug Safety, Volume 21, Issue Supplement S1, January 2012, Pages 41-49, DOI: 10.1002/pds.2328
Description	This article describes how confounding control is one aspect of the safety evaluation process that can be effectively automated to achieve the necessary speed and scale for the safety evaluation process at reasonable cost without sacrificing validity. The article discusses use of the high-dimensional propensity score (hd-PS) algorithm for automating confounding control in sequential database cohort studies.
Corresponding Author	J. A. Rassen, Department of Medicine, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. E-mail: jrassen@post.harvard.edu
Authors	Jeremy A. Rassen ScD; Sebastian Schneeweiss MD, ScD
Related Assessments	Signal Evaluation Methods (Automated)
Publication Type	Publication

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