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Don Hedeker is a prominent statistician known for his methodological work in statistical modeling, particularly focusing on longitudinal data analysis and count data. He has collaborated extensively with leading researchers in the field of behavioral medicine and public health. His research encompasses the development and application of advanced statistical techniques, including mixed models and Bayesian approaches, to analyze complex datasets often encountered in behavioral research. Hedeker's contributions have been widely published in acclaimed journals, including the Journal of Behavioral Medicine and Nicotine & Tobacco Research. He is dedicated to enhancing the understanding of smoking cessation and substance use-related outcomes through rigorous statistical approaches. Hedeker’s work often has real-world implications, guiding strategies for improving health interventions through better analytical frameworks. He is recognized for his expertise in handling missing data and employing innovative methodologies to derive actionable insights from longitudinal studies.
University of Chicago • Chicago, IL
Teaching and conducting research in statistical methodologies and their applications in behavioral studies.
Department of Philosophy