Evidence synthesis belongs to everyone.
The Evidence Synthesis Academy brings evidence synthesis out of academia and into our communities.
We are funded by the Agency for Healthcare Research and Quality (AHRQ) and created by the team at Brown University’s Center for Evidence Synthesis in Health.
Our courses are designed to train the next generation of producers and consumers of Comparative Effectiveness Research and Patient Centered Outcomes Research (CER/PCOR).
His current research focuses on methods and applications for meta-analysis, particularly Bayesian methods and software and on predictive models derived from combining data from different sources. He has published extensively on meta-regression and multivariate methods, including network meta-analysis and combining N-of-1 studies.
Before coming to Brown, Schmid was on the faculty of Tufts University School of Medicine from 1992-2012. He served as Director of the Biostatistics Research Center at Tufts Medical Center and as Associate Director of the Tufts Clinical and Translational Science program.
His reviews have covered a breadth of clinical medicine and nutrition topics and areas including cardiovascular disease, diabetes, kidney disease, surgical interventions, prevention, diagnostic tests, dietary supplements, fatty acid intake, and micronutrients, among others. For about 11 years, he collaborated with the KDOQI and KDIGO kidney disease guideline development organizations, leading evidence review teams conducting systematic reviews and training workgroup members in the development of evidence-based guidelines. For about 6 years he has also assisted the Society of Gynecologic Surgeons Systematic Review Group to develop systematic reviews and clinical practice recommendations.
Megan now uses her expertise to turn complicated ideas into everyday language for everyone from neurologists to ecologists.
He has over ten years of experience working in the Information Technology field maintaining Windows and Linux file and web servers. His main interest lies in pursuing operation automation via Powershell and Python scripting but has experience developing (C#) and maintaining Sharepoint farms.
Valerie Rofeberg, ScMValerie Rofeberg is a Biostatistician and Senior Research Associate at the Center for Evidence Synthesis in Health. She has played an integral role in nearly a dozen systematic reviews, doing everything from screening abstracts to conducting network meta-analyses. She has been teaching systematic review methodology for three years and has served as a methodological consultant for working groups of physicians integrating evidence synthesis into clinical practice guidelines. Rofeberg has also played an instrumental role in developing free, open-access, online courses on evidence synthesis.
His research has focused on the development of tools and methods to conduct systematic reviews and meta-analyses to more reliably understand the impact of factors that may contribute to differences of results in scientific studies. His work has also evaluated methods of combining data and assessed the baseline risks in the interpretation of clinical trial results. Lau created the web-based Systematic Review Data Repository and has published over 230 articles on methodology for systematic review and meta-analysis.
Saldanha’s work has focused on improving the efficiency with which evidence-based medicine is brought to patient care. Specifically, identifying and using the right outcomes in research; evaluating and developing methods for research synthesis; and developing methods for research prioritization. Saldanha also has experience with teaching epidemiology and research synthesis methods.
Her research leverages a complement of methods (e.g. health care policy analysis, health economics and evidence synthesis) to 1) improve the uptake of evidence in policy and clinical decision making and 2) promote patient and community engagement in research.
Prior to Brown, Sullivan was a key contributor to the creation of Harvard T.H. Chan School of Public Health’s first blended course which also integrated biostatistics and epidemiology. He received his PhD in Biostatistics from Harvard University in May 2015, his masters in mathematics from South Dakota State University and a bachelors in mathematics and secondary education from Houghton College. He has worked as an educator in all levels from high-school mathematics to graduate-level biostatistics.
He strives to modernize and optimize the processes of evidence-based medicine by porting methodologies from computer science and applied mathematics.
Outside of state government, Anya was the interim President of the Blue Cross Blue Shield of Massachusetts Foundation, Executive Director of the Massachusetts Medicaid Policy Institute and a consultant specializing in state health policy. She brings to CESH an understanding of the needs and perspectives of end-users of evidence synthesis, particularly policy makers.