Signal Evaluation Methods (Automated)

Project Title Signal Evaluation Methods (Automated)
Date Posted
Wednesday, August 17, 2011
Status
Complete
Deliverables
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 Members

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

Project ID
MD00004
Related Links