Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

1. Introduction to Binary Regression Models.- 2. Generalized Estimating Equations Binary Models.- 3. Lai and Small Models for Time-Dependent Covariates.- 4. Lalonde, wilson, and Yin Models for Time-Dependent Covariates.- 5. Irimata, Broatch, and Wilson Models for Time-Dependent Covariates.- 6. Bayesian GMM to IBW Method of Analysis.- 7. Models for Joint Responses for Time-Dependent Covariates.- 8. Other Models for Time-Dependent Covariates.

Dr. Jeffrey Wilson is associate professor of statistics and biostatistics at Arizona State University, where he has served as director of the School of Health Management and Policy at the W. P. Carey School of Business, and as director and co-director of the biostatistics core at the NIH Center at Banner/Arizona Alzheimer's Consortium. Dr. Wilson is the statistics associate editor for The Journal of Minimally Invasive Gynecology, as well as former chair of the editorial board for the American Journal of Public Health. His research experience includes PI/co-PI roles with the National Science Foundation, the United States Department of Agriculture, the National Institute of Health, the Arizona Department of Health Services, and the Arizona Disease Research Commission. He has published more than 65 articles in prominent academic journals, and has consulted with pharmaceutical companies and hospitals while representing them before the FDA and other federal government healthcare agencies.

Ms. Elsa Vazquez is a PhD candidate in statistics at Arizona State University. She holds a BS in applied mathematics from Juarez University of the State of Durango, and a MS in mathematics from Arizona State University. Ms. Vazquez works as a statistician at the Center for Applied Behavioral Health Policy, where she collaborates with its research and evaluation team. She has served as a faculty associate at Arizona State University's School of Public Affairs, teaching applied statistics, and as a research assistant with the Arizona Alzheimer's Disease Center/Banner Alzheimer's Institute. Her research interests include statistical models for binary correlated data, Bayesian statistics, and their applications to public and behavioral health settings.Dr. Ding-Geng Chen is a fellow of the American Statistical Association and the Wallace Kuralt distinguished professor at the University of North Carolina at Chapel Hill, as well as the South Africa DST-NRF-SAMRC,SARChI in