Donald Hedeker

Papers

Total Citations

148

H-Index

About

Donald Hedeker is a leading biostatistician renowned for his pioneering contributions to the statistical analysis of longitudinal and clustered data, particularly in the behavioral and health sciences. His work has fundamentally shaped how researchers model change over time, with a special focus on mixed-effects models for ordinal and binary outcomes. Hedeker developed the widely-used MIXOR and MIXREG software, which have become essential tools for analyzing nested and repeated-measures data. With over 30,000 citations, his methodological innovations—including the random-effects location-scale model—have enabled more accurate handling of heteroscedasticity and individual differences in variability. Notably, his research extends to novel applications, such as the 2013 study "Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke" (148 citations), which explored how manipulating error signals during training can improve motor recovery. A Distinguished Professor at the University of Chicago, Hedeker has also co-authored seminal texts on longitudinal data analysis, and his work continues to influence fields from psychiatry to rehabilitation medicine, making complex statistical concepts accessible and actionable for applied researchers.