Section of Hospital Medicine
Professor of Medicine
Blum Riese Professor;
Director, Center for Health Statistics
|BA||1976||University of Denver||Chemistry & Mathematics
|PhD||1981||University of Chicago||Statistics & Psychometrics
Robert Gibbons is a statistician interested in the areas of biostatistics, environmental statistics, and psychometrics. Major themes in his work include development of linear and non-linear 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. Dr. Gibbons is an elected member of the Institute of Medicine of the National Academy of Sciences.
- Gibbons R.D., & Hedeker D.R. Full-information item bi-factor analysis. Psychometrika, 57, 423-436, 1992.
- Gibbons R.D., Meltzer D., Duan N. Waiting for Organ Transplantation, Science, 287, 237-238, 2000.
- Gibbons R.D. and Bhaumik D. Weighted random-effects regression models with application to inter-laboratory calibration. Technometrics, 43, 192-198, 2001.
- Hedeker D. & Gibbons R.D. Longitudinal Data Analysis. New York, John Wiley & Sons, 2006.
- Gibbons R.D., Segawa E., Karabatsos G., Amatya A.K., Bhaumik D.K., Brown C.H, Kapur K., Marcus S., Hur K., Mann J.J. Random-effect Poisson regression analysis of adverse event reports: The relationship between antidepressants and suicide. Statistics in Medicine, 27, 1814-1833, 2008