| Project Title | Mini-Sentinel: 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 |
Mini-Sentinel: Signal Evaluation Methods (Automated)
