University of Vermont

cems
College of
Engineering and Mathematical Sciences

Department of Mathematics & Statistics

Research - Statistics and Biostatistics

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    Taka Ashikaga, Professor, is Director of the Biometry Facility of the College of Medicine. Dr. Ashikaga provides collaborative support to investigators in several areas of interest including breast cancer, hormone replacement, resistance training as it pertains to coronary patients, knee joint displacement, forest sciences, and smoking prevention. He is also involved with both the Vermont Cancer Center and General Clinical Research Center, which support the areas of disease detection, prevention and treatment.

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    Janice Bunn, Research Assistant Professor, provides collaborative support to a wide variety of investigators throughout the University of Vermont. 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.

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    Jeffrey 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 wide variety of disciplines such as epidemiology, engineering, environmental research, biology, and physics. He is also currently Co-Investigator of a funded intervention study with the neonatology group in the UVM College of Medicine. The study, titled "Evidence-based Surfactant Therapy for Preterm Infants" is funded through the Agency for HealthCare Research and Quality of the U.S. Department of Health and Human Services.

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    Peter Callas, Research Associate Professor, conducts epidemiologic research and statistical analysis at the University of Vermont College of Medicine and at Fletcher Allen Health Care (the academic medical center at UVM). He is currently involved in projects on a variety of topics, including evaluation of a telemedicine system; prevention and treatment of nicotine, alcohol, and other addictions; and investigation of genetic aspects of thrombosis and hemostasis. He has previously worked with the Department of Orthopedics and Rehabilitation and with the Department of Psychiatry on a study of factors predicting return to work among patients with low back pain.

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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.

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    Erika Edwards, Research Assistant Professor, is Manager of Statistical Reporting for the Vermont Oxford Network, an international non-profit voluntary collaboration of health care professionals improving the quality and safety of medical care for newborn infants and their families. She conducts research on very low birth weight and other preterm infants in the Vermont Oxford Network and Neonatal Encephalopathy registries. She is also involved in epidemiologic research on adolescent health, substance use and abuse, physical activity, and metabolic syndrome using large existing datasets.

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    Ruth Mickey, Professor, has focused on analysis of categorical data and survey sampling. Most recently, she collaborated on two large projects, funded by The National Cancer Institute: UVM's Breast Screening Program Project, a community intervention study designed to promote breast cancer screening, and on the Vermont Breast Cancer Surveillance System. Her work has appeared in various journals, such as American Journal of Epidemiology, Epidemiology, Journal of Behavioral Medicine, Preventive Medicine, Statistics in Medicine, among others.

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    Richard Single, Assistant Professor, 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.

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    Mun Son, Professor, is interested in time series and related topics such as bootstrapping methodology, including autoregressive processes, transfer function analysis, and ridge regression analysis. Additionally, he has recently published papers in multistage sampling, including double and triple sampling, and accelerated sequential procedures. He has been jointly working in the theory of sequential, regression and time series analysis with professors Ali Hadi (Cornell University) and Hosny Hamdy (Kuwait University).