| Project Title | Sequential TreeScan Signal Identification Methods Development |
| Date Posted |
Tuesday, December 11, 2018 |
| Status |
In progress |
| Description |
The aim of this methods project is to enable and pilot test sequential TreeScan analyses over time. This project will develop adjustments to tree-based scan statistics (Unconditional Bernoulli) that will enable sequential versions of TreeScan for the fixed-window self-controlled and propensity score matched approaches. Sequential TreeScan will also be performed on an agreed-upon example problem (i.e., a test case) in a non-distributed but routinely updated data source (Optum Clinformatics). |
| Workgroup Leader(s) |
Martin Kulldorff PhD; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; Judith C. Maro PhD, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA Danijela Stojanovic PharmD, PhD; Office of Surveillance and Epidemiology, Center for Drug and Evaluation Research, US Food and Drug Administration, Silver Spring, MD |
| Workgroup Members |
Elande Baro PhD; Sai Dharmarajan PhD; Office of Biostatistics, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD Monica Munoz PharmD; Mallika Mundkur MD, MPH; Division of Pharmacovigilance, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD Monique Falconer MD, MS; Richard S. Swain PhD, MPH; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD. Inna Dashevsky MS; Sandra DeLuccia MPH; Ella Pestine MPH; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA |
Sequential TreeScan Signal Identification Methods Development
