Prof. dr. Donald Hedeker

Donald Hedeker is Professor of Biostatistics in the Department of Public Health Sciences at the University of Chicago. His research focuses on the development and application of advanced statistical methods for clustered and longitudinal data, with particular expertise in mixed-effects modeling and intensive longitudinal designs. He is the primary author of several freely available software programs for mixed-effects analysis, and co-author (with Robert Gibbons) of the influential textbook Longitudinal Data Analysis (Wiley, 2006). More recently, his work has advanced methods and software for the analysis of intensive longitudinal data, including data collected through mobile health (mHealth) and ecological momentary assessment (EMA) studies. These developments have provided researchers with powerful tools to analyze data featuring high temporal resolution and within-person dynamics. Professor Hedeker was elected Fellow of the American Statistical Association in 2000 and has served as Associate Editor for Statistics in Medicine since 2006. His contributions have been instrumental in shaping contemporary approaches to longitudinal and multilevel data analysis in the health and behavioral sciences.

Tentative title: Two-stage mixed-effects location scale models for intensive longitudinal data

The abstract of the talk will follow soon.