Donald Hedeker

Professor of Biostatistics
Department of Public Health Sciences

Donald Hedeker
5841 S. Maryland, W254


Donald Hedeker's chief expertise is in the development and use of statistical methods for clustered and longitudinal data, with particular emphasis on mixed-effects models and categorical data. He is the primary author of several freeware computer programs for mixed-effects analysis. With Robert Gibbons, Don is the author of the text “Longitudinal Data Analysis,” published by Wiley in 2006. More recently, he has developed methods and software for analysis of intensive longitudinal data, which are data with many measurements over time, often collected using mobile devices and/or the internet. Such data are increasingly obtained by researchers in many research areas, for example in the areas of mobile health (mHealth) and ecological momentary assessment (EMA) studies.  For such intensive longitudinal data, Don has developed the mixed-effects location scale (MELS) model which simultaneously models the mean and variance structures of the data, leading to the development of software programs MixRegLS and MixWILD.