My methodological research focuses on clustering, functional data analysis, classification and patterns of covariation in data. In particular I have looked at approaches to identifying the number of groups in a data set and extending classical methods for cluster analysis to the functional data domain. I also have a wide range of applied interests including HIV/AIDS, mental health, dentistry, nephrology, and particularly health services research where I have developed a set of cluster-analytic methods for defining and analyzing health state models. I have applied these techniques to studies of quality of life in depression and schizophrenia and am currently working with colleagues in the British National Health System on similar projects in cancer and multiple sclerosis. I am also currently involved in a VA study of access to and quality of care in HIV/AIDS.
Catherine Ann Sugar
- PhD, Statistics, Stanford University, Stanford, CA, 1998
- MS, Mathematics, Stanford University, Stanford, CA, 1994
- BA, Mathematics, Pomona College, Claremont, CA, 1992
- Biostat 100B: Introduction to Biostatistics
- Biostat 288: Seminar: Statistics in AIDS
- Biostat 402B: Biostatistical Consulting