Chang Yu
PhD, Biostatistics, Yale University
Research interests include: distributions and methods on correlated binary data, drug development and efficacy, Bayesian adaptive study design
Service includes: associate editor, Journal of Statistical Theory and Practice; statistical advisor, PLOS ONE
More information: biostat.app.vumc.org/ChangYu
Dr. Yu’s methodological research focuses on models for correlated binary data, mixture models, disease clustering, measurement error correction models, and statistical methods for genetics. Some of his works are cited in Univariate Discrete Distributions by Johnson, Kemp, and Kotz (3rd edition, 2005). Before joining Vanderbilt, Dr. Yu worked more than 5 years on clinical trials at Merck Research Laboratories in Rahway, NJ. He collaborates with investigators in clinical pharmacology, epidemiology, pulmonary, and Vanderbilt Institute for Clinical and Translational Research. He leads the Bayesian adaptive clinical trial design effort in the department.