Josh has academic degrees in both Statistics and Computer Science, with deep experience in statistical methodology and use of statistical software. His areas of interest include causal inference, propensity score matching, multiple regression diagnosis, structural equation modeling, software implementation and general computing concerns.
Corey has a wide range of experience, ranging from clinical trials to bioinformatics and genomics. His areas of expertise include statistical computing and machine learning.
Chris is a Statistician in the U-M Department of Ophthalmology and Visual Sciences and formerly was faculty at Oberlin College and the State University of New York at Buffalo. He currently is the lead statistician for the Northeast Regional Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute. His areas of expertise include survival analysis, linear and generalized linear modeling, missing data methods, metabolomics, and analysis of administrative claims data.
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