Pamela Shaw, Ph.D.
Associate Professor, Perelman School of Medicine
Shaw’s research interests include design of clinical trials, statistical methodology to address covariate and outcome measurement error, prediction modeling, and nutritional and physical activity epidemiology. She has a particular interest in the use of biomarker studies to calibrate exposure measurements in the fields of nutritional and physical activity epidemiology and environmental health, to allow for a better estimate of the association between these exposures and disease. More recently she has developed a novel rank test to evaluate a composite survival outcome in the presence of interval censoring. As Associate Professor of Biostatistics at the Perelman School of Medicine, Dr. Shaw has continued collaborations in a variety of epidemiologic and clinical studies, with a focus on infectious and chronic disease.