Janice Bunn, Research Associate Professor, provides collaborative support to a wide variety of investigators throughout ¶¶Òõ̽̽. Her research efforts include the application of statistical techniques in group randomized clinical trials based on both nested cohort and nested cross-sectional experimental designs. She also provides statistical support for a wide range of individually randomized clinical trials in her capacity as the biostatistician for the General Clinical Research Center and works with the Department of Physical Therapy and the Office of Clinical Trials Research. In addition, she is working on the application of structural equation modeling techniques for clustered samples. |
ÌýJeffrey Buzas, Professor, works in both theoretical and applied statistics with applications to biostatistics, epidemiology, economics and geosciences. His research efforts have focused on the study of the effects of covariate measurement error in regression models, which are used extensively in a wideÌý Ìývariety of disciplines such as epidemiology, engineering, environmental research, biology, and physics.ÌýHe is also currently ¶¶Òõ̽̽ PI of an NIH-R01 sub-award with University of South Carolina titled "Hospital quality, Medicaid expansion and racial/ethnic disparities in maternal mortality and morbidity."
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Chip Cole, Professor, works in the area of cancer biostatistics. His methodological research is focused on the joint evaluation of quality of life and survival in cancer clinical trials. He also has a general interest in statistical methodology related to cancer research, including survival analysis, longitudinal data analysis, and the handling of missing data. In addition to his methodological activities, Dr. Cole is an active co-investigator. With the International Breast Cancer Study Group, he works with breast cancer researchers to conduct world-wide clinical trials of treatments for breast cancer. With the Polyp Prevention Study Group, a North American consortium, he works on large-scale clinical trials of chemo-preventive agents for colorectal cancer. |
Abby Crocker, Research Assistant Professor, is the Director of Research for the National Center on Restorative Justice, a federally funded partnership between the Vermont Law School, ¶¶Òõ̽̽, and the University of San Diego. She is an applied methodologist with a research focus onÌý Ìýhealth disparities and justice-involved populations, social determinants of health, and restorative justice. Abby partners with interdisciplinary teams, across organizations, to support the use of data in addressing complex health and social concerns. |
Erika Edwards, Research Associate Professor, is Director of Data Science for Vermont Oxford Network, a nonprofit, voluntary worldwide collaborative dedicated to improving the quality, safety, and value of care for newborns through a coordinated program of data-driven quality improvement, education,Ìý Ìýand research.Ìý She is an epidemiologist who conducts applied research using data collected onÌý infants admitted to neonatal intensive care units. She has a secondary appointment in the Department of Pediatrics, Larner College of Medicine. |
works in the area of low-dimensional topology (such as knot theory and the study of 3-dimensional shapes up to deformation), studying low-dimensional objects using tools coming from gauge theory, a collection of partial differential equations inspired by related physical equations. Work in this area uses math from many fields, connecting topology to both algebra and analysis. |
, conducts research in the area of statistical genetics which involves population genetic analyses, comparative genomics, methods for disease association studies, determining properties of measures of overall linkage disequilibrium (LD), and tests for LD and Hardy-Weinberg equilibrium at the individual haplotype/genotype level. An emphasis on the human Major Histocompatibility Complex (MHC) of chromosome 6 has led to the study of microsatellite and SNP markers that are predictive of classical HLA genes due to their influence on the immune response for bone marrow transplantation. He also works in the areas of program evaluation and medical biostatistics with faculty members in the College of Education and Social Services and College of Medicine. |
works on Bayesian statistics and its applications to complex systems and epidemiology. His recent research focuses on inference problems in network science, including for dynamical models of networks; network reconstruction from noisy data; and the inference ofÌý Ìýhigh-order interactions from pairwise data. Dr. Young is also a junior faculty of the , where he develops statistical methods for epidemiological models on networks, and of the . |