Robert Gibbons, PhD.

Robert Gibbons, PhD., is Director of the Center for Health Statistics and Professor of Biostatistics and Psychiatry at the University of Chicago. He is a statistician interested in the areas of biostatistics, environmental statistics, and psychometrics. Major themes in his work include development of linear and nonlinear mixed effects regression models for analysis of longitudinal data, analysis of environmental monitoring data and inter-laboratory calibration, item response theory and computerized adaptive testing, and the development of new statistical methods in pharmacoepidemiology and drug safety.

He is an elected member of the Institute of Medicine of the National Academy of Sciences and a fellow of the American Statistical Association.

He earned his PhD in statistics and psychometrics from the University of Chicago and his BA in chemistry and mathematics from the University of Denver.

A Fellow of the American Statistical Association and member of the Institute of Medicine of the National Academy of Sciences, Dr. Gibbons has written more than 200 journal articles in the areas of statistics.

Dr. Gibbons is the coauthor of Statistical Methods for Ground Water Monitoring (2nd Edition, 2009) along with the other popular books: Longitudinal Data Analysis and Statistical Methods for Detection and Quantification of Environmental Contamination, each published by Wiley.