Upcoming CLEAR Center Methods Webinar: Systematic Reviews and Meta-Analyses on July 27 at 9am
Jul 21, 2020
The UW CLEAR Center / PM&R Journal statistical methods webinar series focuses on key topics that research investigators, journal editors, and clinicians encounter as they develop and conduct research studies, review research manuscripts, and stay up-to-date on the latest research in their field. All CLEAR Center methods webinars are recorded and archived on the CLEAR Center website.
Date: Monday, July 27, 2020
Time: 9-10am Pacific / 12-1pm Eastern
Title: Systematic Reviews and Meta-Analyses
Presenter: Beth Devine, PhD, PharmD, MBA; University of Washington
About the Speaker
Beth Devine, PhD, PharmD, MBA, is Professor in the University of Washington School of Pharmacy’s Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute. She is a health services research scientist and health economist who employs methods from the overlapping disciplines of epidemiology, biostatistics, decision sciences, and clinical informatics. The framework for her work is comparative effectiveness research. Her foremost area of research is evidence synthesis, wherein she has conducted over 25 systematic reviews and network meta-analyses in both the frequentist and Bayesian frameworks. Dr. Devine is the Assistant Director and site-principal investigator of the AHRQ-funded Pacific Northwest Evidence-based Practice Center (EPC) V, which brings together the strengths of faculty and staff from UW, Oregon Health & Science University, and Aggregate Analytics, Inc. She is an elected member of the Society for Research Synthesis Methodology and was a key contributor to the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Task Force that developed the Good Research Practices for Conducting Indirect Treatment Comparisons, considered a tool for conducting CER. Dr. Devine also has expertise in the conduct of prospective studies, retrospective database analyses, and cost-effectiveness analyses. She employs these study designs to investigate issues of pharmacogenomic-guided medication safety, healthcare resource use, costs and value of healthcare interventions.