Ph.D., Professor of Biostatistics, Johns Hopkins University
Scott L. Zeger is co-Director of Hopkins inHealth, the Johns Hopkins precision medicine partnership of the University, Health System, and Applied Physics Laboratory. He conducts statistical research on Bayesian hierarchical models for better estimating an individual’s state, trajectory, or likely treatment benefits from clinical cohort data. Professor Zeger is a member of the Springer-Verlag editorial board for statistics and was the founding co-editor of the Oxford University Press journal Biostatistics. His work has been recognized with several awards including most recently an honorary doctorate from England’s Lancaster University and the 2015 Karl Pearson Prize from the International Statistical Institute with long-time colleague Dr. Kung-Yee Liang. Dr. Zeger is a Golden Apple Awardee for excellence in teaching.
Hopkins inHealth: A Model for Individualized Healthcare
Individualized and population health are two sides of a coin because better decisions for individuals are made when informed by appropriate analyses of data on a cohort of similar people. Bayesian hierarchical models can improve clinical judgements about a patient’s health state, trajectory, or likely benefits from competing treatments.
Session Synopsis: Individualized health, or InHealth, is a scientific approach to health promotion and disease management by combining clinical, genetic, lifestyle, and other data sources with sophisticated data analytics to improve health decisions in real time. This session will touch upon this comprehensive initiative.