Hosted by the GPH Department of Biostatistics
Join Kiros Berhane, PhD, Chair of the Columbia University Department of Biostatistics for a discussion about a Multi-level Bayesian Latent Class Growth Mixture model for longitudinal Zero-inflated Poisson data in the Bayesian setting. This is an extension of previous frequentist approaches that used the maximum likelihood estimation paradigm and have several shortcomings such as inability to handle complex multi-level data structures, estimation challenges, convergence issues, and/or non-identifiability issues in estimates or classes.
He will provide details on the proposed modeling approach and show that the proposed approach has desirable properties for correctly identifying latent longitudinal trajectory groups for Zero-inflated Poisson data and provide relatively accurate parameter estimates in the multi-level setting. The work is motivated by (and illustrated with) two studies with longitudinal cigarette smoking trajectory data during childhood with focus tobacco regulatory science.
About the Speaker:
Dr. Kiros Berhane is the Cynthia and Robert Citron-Roslyn and Leslie Goldstein Professor and Chairman of the Department of Biostatistics at the Mailman School of Public Health, Columbia University. He received his BSc in Statistics and Mathematics from Addis Ababa University (Ethiopia), MS in Statistics from University of Guelph (Canada), and PhD in Biostatistics from University of Toronto (Canada). He completed a postdoctoral fellowship at Johns Hopkins University (USA). He is a widely published international expert on development of statistical methods with focus on complex and correlated data structures, as well as their application into a wide range of public health topics.
Prior to joining Columbia in January 2020, Dr. Berhane was Professor and Director of Graduate Programs in Biostatistics and Epidemiology at the University of Southern California. He has served on several national and international advisory and review panels, including committees of the Institute of Medicine (US National Academies) and the US-EPA Science Advisory Board, Health Effects Institute Review Committee. He served as a member of (and chaired for one of the years) the Fisher lecture and Award selection committee of the Committee of Presidents of Statistical Societies (COPSS). He recently served as a member of the committee of the National Academy of Science, Engineering and Medicine (NASEM) on Assessing Causality from a Multidisciplinary Evidence Base for National Ambient Air Quality Standards. In addition to serving on the editorial boards of several scientific journals, he is also currently serving as a member of Science magazine’s Board of Reviewing Editors. He was a Fulbright Scholar in 2016-2017, and is an elected fellow of the American Statistical Association.