Elizabeth Sweeney, PhD
Assistant Professor of Biostatistics
Dr. Sweeney’s methodological research centers on the analysis of structural magnetic resonance imaging (MRI), with a particular focus on the disease of multiple sclerosis (MS). She has worked on image segmentation, image normalization, cross-sectional and longitudinal modeling, as well as software development in this area. Her recent work has focused on analysis of the novel quantitative MRI sequence of quantitative susceptibility mapping, applied to MS. Her collaborative work spans many areas in neurology and radiology.
Content Area Specialties
Biostatistics, image analysis, multiple sclerosis, neurology, radiology
Imaging statistics, observational studies, longitudinal data