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

Basic Details
Date
Type
Publication
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.

Materials

Pharmacoepidemiology and Drug Safety, Volume 21, Issue Supplement S1, January 2012, Pages 41-49, DOI: 10.1002/pds.2328

Related Assessment(s)
Signal Evaluation Methods (Automated)
PDS Supplement: The U.S. Food and Drug Administration's Mini-Sentinel Program
Author(s)

Jeremy A. Rassen ScD; Sebastian Schneeweiss MD, ScD 

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