Dr. Carol Bigelow’s research spans diverse areas in the application of biostatistical models for the study of complex disorders including breast cancer prevention and etiology. She is also involved in studies of the barriers to accessing health care, clinical epidemiology, and several randomized clinical trials. She is actively involved in the American Statistical Association’s Section on Teaching Statistics in the Health Sciences.
Dr. Ken Kleinman’s research interests are in the analysis of clustered and longitudinal data, observational epidemiology, cluster-randomized trials, public health surveillance, and electronic medical records. He is involved with community- and otherwise cluster-randomized studies, including interventions to improve physician’s adherence to guidelines, to reduce the spread of antibiotic-resistant organisms, to help obese children reduce weight gain, and others. He also works with electronic medical records to perform surveillance of outpatient encounters to assess the possibility of bioterrorism attack or pandemic influenza, developing methods and editing a volume in this area. Dr. Kleinman serves as the primary biostatistician for Project Viva, an observational cohort of mothers and children that explores developmental origins of health and disease. He has also published three reference texts, and writes a blog on statistical software.
Common and Distinct Early Environmental Influences on Cardiometabolic and Respiratory Health (National Institutes of Health)
Dr. Penelope Pekow’s work is focused on application of analytic methods for comparative effectiveness studies and studies of variation in delivery of care, utilizing large observational billing and medical record databases with multi-level hierarchical data structures. She works with clinicians in the Center for Quality of Care Research (CQCR) at Baystate Medical Center in Springfield, MA.
Co-Investigator: Implementation and Outcomes of Noninvasive Ventilation in COPD (National Institutes of Health)
Co-Investigator: Identifying Factors Associated with High Quality Pediatrics Primary Care (National Institutes of Health)
Dr. Xiangrong Kong’s methodology work has been motivated by analytical challenges encountered in studies of HIV and common sexually transmitted diseases, and focused on development of methods for analyzing longitudinal data with complex correlation structures. Expanding her quantitative skill set, she also has training in social epidemiology and behavioral sciences to examine individual and societal factors influencing health seeking behaviors and to address the analytical challenges arising from such research. Additionally, she has keen interest in translational epidemiology research, particularly focusing on evaluating the population impact of large scale-up of HIV preventive services in resource limited setting. Recently, she also collaborates with ophthalmologists and serves as biostatistician in the data-coordinating center for a natural history multi-center international study on a genetic eye disease.
Multilevel Determinants of Male Circumcision Uptake, Rakai, Uganda (National Institutes of Health)
CHWS, MHEALTH and Combination HIV Prevention in a Hotspot: A Randomized Trial (National Institutes of Health)
Co-Investigator: The Natural History of the Progression of Atrophy Secondary to Stargardt Disease (Progstar) Studies (Progstar)