The Center for Evidence-Based Medicine

@ Brown

center aims

We conduct multidisciplinary research in, and teach the principles of, research synthesis (by means of systematic review, meta-analysis) and evidence contextualization (by means of decision or economic modeling) with a focus on comparing the effectiveness of interventions, tests and processes in clinical medicine.

Our research agenda includes optimizing the processes of research synthesis in healthcare and beyond by developing new -- or extending existing -- methods and tools. As the newest Public Health center, we will proactively establish research collaborations with the Alpert Medical School and the affiliated hospitals, as well to initiate broad interdisciplinary collaborations throughout the University. Center faculty are also preparing to teach introductory and advanced courses emphasizing relevant quantitative methods.

Brown CEbM

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Feb. 7, 2014
AHRQ-¬≠funded post-‚Äźdoctoral fellowship (one) in CER/PCOR with emphasis in Evidence Synthesis Methods
The Center for Evidence-based Medicine (CEBM) at the Brown University School of Public Health is inviting applications for postdoctoral fellows. The fellowship provides state-of-the-science training for postdoctoral clinicians and non-clinicians in health services research. The current announcement is for a 2-year position with emphasis in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) through stakeholder-driven evidence synthesis.

Feb. 4, 2014
Seed grant funded
Brown has selected our seed grant, "Scaling Evidence-Based Medicine via Automation & Crowdsourcing", for funding.

Dec. 18, 2013
PCORI contract funded
Our PCORI proposal for the empirical evaluation of propensity score methods was selected for funding! (Brown PI: Issa Dahabreh)

recent publications

Automatically Annotating Topics in Transcripts of Patient-Provider Interactions via Machine Learning

Byron C. Wallace, M. Barton Laws, Kevin Small, Ira B. Wilson and Thomas A. Trikalinos
Medical Decision Making, 2013

Network meta-analysis-highly attractive but more methodological research is needed

Chris Cameron, Kay Dickersin, Steven N. Goodman, Tianjing Li, Edward Mills, David Musch, Milo A. Puhan, Gerben ter Riet, Karen Robinson, Christopher Schmid, Sonal Singh, Fujian Song, Kristian Thorlund, Thomas Trikalinos, Swaroop S. Vedula
BMC Medicine, 2012

more publications ...