Professor of Biostatistics


Christopher H. Schmid, PhD is Professor of Biostatistics and founding member of the Center for Evidence Synthesis in Health in the Brown School of Public Health. He is Fellow of the American Statistical Association (ASA), elected member of the Society for Research Synthesis Methodology, Founding 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 Biostatistics, Epidemiology and Research Design (BERD),  Core of Advance-RI Clinical and Translational Research and the Evidence Synthesis Academy, an AHRQ-funded training program in evidence synthesis 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, on predictive models derived from combining data from different sources and on clinical trials, particularly N-of-1 trials, single person multiple crossover studies. He has published extensively on meta-regression and multivariate methods, including network meta-analysis and combining N-of-1 studies.

Dr. Schmid also has coauthored a large number of applications in collaboration with medical and public health scientists. He has published in all the leading general medical journals and in many top subspecialty journals as well.

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 including most recently the AHRQ Health Care Research Training Study Section, the FDA Drug Safety and Risk Management Advisory Committee and the Scientific Advisory Committee of the Cochrane Collaboration.

Brown Affiliations

Research Areas

On the Web