Christopher H. Schmid Professor of Biostatistics

Christopher H. Schmid, PhD is Professor of Biostatistics and  founding member of the Center for Evidence Based Medicine in Public Health. He is Fellow of the American Statistical Association (ASA), elected member of the Society for Research Synthesis Methodology, Founding Co-Editor of the journal Research Synthesis Methods, statistical editor for the American Journal of Kidney Diseases and former Chair of the Section on Health Policy Statistics at ASA. He directs the Clinical Research Design, Epidemiology and Biostatistics Core of the Rhode Island Center for Clinical and Translational Research and the Evidence Synthesis Academy, an AHRQ-funded training program in evidence synthesis at Brown focusing on comparative effectiveness and patient-centered research directed at mid-career professionals and users of healthcare evidence.

His 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.

Dr. Schmid helped develop Institute of Medicine national standards for systematic reviews. Before moving to Brown, Dr. 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 Clinical and Translational Science program. He directed the Brown Biostatistics Masters Program from 2012-2016. Dr. Schmid holds a PhD in Statistics from Harvard University (1991) and a BA in Mathematics from Haverford College (1983). He consults extensively with government, academia and industry and has served on many data safety monitoring and grant review committees. Currently he serves on the AHRQ Study Section for training awards and the FDA Risk Management Advisory Committee. 

Brown Affiliations

Research Areas