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Catherine Ann Sugar's methodological research focuses on clustering, functional data analysis, and classification of patterns in covariation data. She has particularly looked at approaches for identifying the number of groups in a data set, extending classical methods of cluster analysis into the functional data domain. Her applied interests span a wide range, including HIV/AIDS, mental health, dentistry, and nephrology, specifically in health services research. She has developed a set of cluster-analytic methods for defining and analyzing health state models. Catherine is actively involved in techniques related to studies of quality of life and conditions such as depression and schizophrenia. Currently, she is working with colleagues from the British National Health System on similar projects related to cancer and multiple sclerosis. Additionally, she is involved in a VA study focusing on access to quality care for individuals with HIV/AIDS.
Department of Economics admits primarily for the PhD program.