My research focuses on statistical methods for meta-analysis, the quantitative synthesis of information from observational and experimental studies. I am concentrating on developing methods and software for simultaneously comparing many treatments for a medical condition in order to determine which is best. I also develop models to enable doctors to work with patients to choose the best treatment through single patient experiments and models for predicting kidney function using multi-study data.
Christopher H. Schmid, PhD is Professor of Biostatistics and directs its Masters Program and is a 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, Editor of Research Synthesis Methods, statistical editor for the American Journal of Kidney Diseases and was Chair of the Section on Health Policy Statistics at ASA. Major research interests include development and application of Bayesian models to clinical research and statistical methods and computational tools for meta-analysis and N-of-1 studies. Current research focuses on methods for analyzing multivariate data in meta-analysis, development of open source meta-analysis software for standard and advanced methods that incorporates R and Bugs, development of predictive models from individual patient data collected from multiple data sources and modeling of data from single patient studies for incorporation into mobile phone and tablet applications. He consults extensively with government, academia and industry and serves on several data safety monitoring and grant review committees.
CHRISTOPHER SCHMID, PhD
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