Please join the Department of Biostatistics for the next installment in its seminar series: "Statistics in Biomedical Research: Experiences from the Past and Perspectives on the Future"
PRESENTER: Judith D. Goldberg, ScD Professor of Biostatistics New York University School of Medicine Departments of Population Health and Environmental Medicine BIO: Judith D. Goldberg, ScD, joined NYU in 1999 when she founded the Division of Biostatistics in the Department of Environmental Medicine and served as Director until 2013. Currently, Dr. Goldberg is the Director of the Biostatistics Shared Resource of the NY Perlmutter Cancer Institute and Director of the Environmental Health Statistics and Bioinformatics Facility of the NIEHS Center at NYU. She founded, and until recently, directed the Biostatistics, Epidemiology, and Research Design Program of the NYU-HHC Clinical Translational Science Institute. She also directs the PhD Program in Biostatistics in the Environmental Health Sciences in GSAS. Dr. Goldberg has maintained a wide range of collaborative research grants in clinical and translational research in oncology and other areas, and currently leads statistical center activities for several ongoing randomized clinical trials.
ABSTRACT: The impact of statistics on advances in biomedical research in both academia and industry will be explored through examples from my past experiences in research collaborations that resulted in major implications for health and health policy. In recent years, statistical thinking has played a major role in the process of evaluating new approaches for detection, treatment, and prevention of disease. Experiences with the analysis of the Health Insurance Plan Mammography Study established mammography as a useful screening method for the early detection of breast cancer. Other experiences in the design and analysis of studies to evaluate new treatments for hematologic malignancies, breast cancer and other diseases illustrate issues that were addressed using available statistical methods. New statistical methods and computing advances allow us to address the limitations of these earlier approaches. As we move into the future, the explosion of data from new technologies such as genomics, proteomics, metabolomics, and imaging methods, among others are changing the trajectory of medical research. These advances bring new challenges for statistics that are enabled by the growth of bioinformatics and informatics.