Mini-Sentinel: Signal Evaluation Methods (Automated)

Basic Details
Date Posted
Wednesday, August 17, 2011
Status
Complete
Description

Project to evaluate statistical methods to improve automated confounding control in electronic healthcare databases in a range of drug safety scenarios by 1) applying high-dimensional propensity score adjustment to medical product safety surveillance systems, and 2) examining the effect of Z-bias, a type of bias caused by adjusting for an instrumental variable in an analysis.

Workgroup Leader(s)

Robert Glynn, PhD, ScD; Brigham and Women’s Hospital Division of Pharmacoepidemiology and Pharmacoeconomics, and Harvard Medical School, Boston, MA

Workgroup Member(s)

Jeremy A. Rassen, ScD; Jessica Myers, PhD, ScD; Sebastian Schneeweiss, MD, ScD; Joshua J. Gagne, MS, PharmD; Krista F. Huybrechts, MS, PhD; Brigham and Women’s Hospital Division of Pharmacoepidemiology and Pharmacoeconomics, and Harvard Medical School, Boston, MA

Kenneth J. Rothman, MPH, DrPH; RTI International, Research Triangle Park, NC

Marshall M. Joffe, MD, MPH, PhD; University of Pennsylvania School of Medicine, Philadelphia, PA