Donald Hedeker

Dr. Donald Hedeker explores cutting-edge topics in the realm of biostatistics, with a particular focus on the development and application of statistical methods for clustered and longitudinal data. As a Professor of Biostatistics in the Department of Public Health Sciences at the University of Chicago, Dr. Hedeker is renowned for his expertise in mixed-effects models, a sophisticated statistical approach that allows for the analysis of complex data structures. Dr. Hedeker has made significant contributions to the field through the development of several freeware computer programs designed to facilitate mixed-effects analysis. His commitment to advancing statistical methodologies is further exemplified by his authorship of the textbook "Longitudinal Data Analysis," which serves as a vital resource for researchers and students alike. In addition to his work with traditional data, Dr. Hedeker has pioneered methods and software for analyzing intensive longitudinal data collected from mobile devices and the internet. This innovative approach has opened new avenues for research in mobile health and internet-based data collection, areas that are increasingly important in today's data-driven world. Dr. Hedeker's expertise is recognized through his role as an associate editor for the prestigious journal Statistics in Medicine, where he contributes to the dissemination of cutting-edge statistical research. His outstanding contributions to the field have been acknowledged with numerous awards, including the 2022 Sells Award for Distinguished Multivariate Research from the Society of Multivariate Experimental Psychology. Throughout his career, Dr. Hedeker has demonstrated a commitment to advancing the field of biostatistics through both his research and his dedication to education. His work continues to influence the way researchers approach the analysis of complex data, ensuring that biostatistics remains at the forefront of scientific discovery.