About
Andrew Mugglin is a Research Associate Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota School of Public Health. His expertise spans clinical trials, particularly in cardiovascular medical device applications, Bayesian hierarchical modeling, spatio-temporal modeling, and computational methods.
- PhD in Biostatistics, University of Minnesota School of Public Health
- MS in Mathematics, Rensselaer Polytechnic Institute
- BE in Electrical Engineering, The Cooper Union
Dr. Mugglin specializes in innovative clinical trial design using Bayesian approaches, with applications in public health and biomedical research. His work emphasizes statistical modeling and computational techniques for analyzing complex data structures.
Contact: amugglin@umn.edu
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