Two Penn Medicine researchers were honored with the 2015 Outstanding Statistical Application Award from the American Statistical Association (ASA).
Authors of the paper include Wensheng Guo, professor of biostatistics in the department of biostatistics & epidemiology at the Perelman School of Medicine and a scholar in the CCEB, and Anne R. Cappola, MD, ScM, associate professor in the division of endocrinology, diabetes & metabolism at Penn’s Perelman School of Medicine and an associate scholar in the CCEB.
The paper, titled “Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models” and published in the Journal of American Statistical Association, was recognized for its contribution to modeling the complex feed-back and feed-forward relationship between different hormones in humans.
Diabetes Drug Study Shows Promise of Personalized Medicine
Research by Mitchell Lazar, MD, PhD, director of the Institute for Diabetes, Obesity, and Metabolism, and Raymond Soccio, MD, PhD, clinical fellow in Endocrinology, Diabetes, and Metabolism, was featured in news outlets this week, including the Philadelphia Inquirer. In the first study of its kind, they have shown how an anti-diabetic drug can have variable effects depending on small natural differences in DNA sequence between individuals. They aim to apply this knowledge to develop personalized approaches to treating diabetes and other metabolic disorders.