I am a PhD credentialed biostatistician with additional training in clinical quality improvement, health services research, and qualitative and mixed methods (QUAL/QUAN) research. Accomplishments as Professor of Family and Preventive Medicine, include 40+ years’ experience in curriculum development, faculty mentorship, and statistical collaboration. I direct the interdepartmental, interdisciplinary MSTAT/Biostatistics track and have served 4 terms as the overall MSTAT program director. I am a Fellow of the American Statistical Association.
Statistical collaboration roles have included service as biostatistician for the Cooperative Systematic Studies of Rheumatic Diseases for nearly two decades and service on the FDA Arthritis Advisory Committee. I directed the DFPM Biostatistics Laboratory, the Biostatistics Core of two PPGs, and the Statistics Center of a multi-center study.
In the mid-1990’s, I developed additional expertise in health services research including coursework in health policy, health economics, medical sociology, clinical quality improvement (CQI), and qualitative and quantitative methodologies; with continuing education in mixed methods (QUAL/QUAN) research.
Grants successfully completed as PI include two HRSA grants in the early 2000s, to develop culturally competent maternal and child health (MCH) workforce enhancement resources and distance learning products such as videos and other electronic media. This included a webcourse on cultural competence in MCH. I also served as evaluator for an MCH leadership grant. I served as a co-PI (focused ethnography project) and a Biostatistics Core Director on a recent P01.
Current research roles are as co-investigator in an NIH-funded study of coaching group methods for training new investigators in grant-writing, and as departmental Biostatistics Support Core Director. Current interests are centered on women’s pelvic floor disorders, mentorship interventions,and health services innovations.
Research Statement
Topics: Women's pelvic floor disorders; health of our aging population; chronic disease; health care access and quality, health services innovations
Methodologies: biostatistics, causal methods, qualitative research methods, mixed and multiple methods (QUAL/QUAN).
