Scott L. Zeger, PhD
- Biostatistics (Primary)
- Epidemiology (Joint)
- Division: Global Disease Epidemiology and Control
Center & Institute Affiliations
- Biostatistics Center
- Center for Global Health
- International Vaccine Access Center (IVAC)
- The Johns Hopkins Institute for Clinical and Translational Research
- Welch Center for Prevention, Epidemiology and Clinical Research
615 N. Wolfe Street
Baltimore, Maryland 21205
PhD, Princeton University, 1982
MS, Drexel University, 1978
BA, University of Pennsylvania, 1974
My methodologic research is to develop statistical models that support scientific learning about human health. My earlier work was on regression models for correlated responses that arise when observations come in clusters, for example in longitudinal research or in sample surveys or when when data are observed over time or space. We have extended generalized linear models (logistic, linear, log-linear and survival models) to be applicable in these cases. More recently, my work has been on Bayesian models for the etiology of childrens pneumonia and on methods for precision medicine, an expanded vision of which at Johns Hopkins we call "individualized health".
Honors and Awards
Karl Pearson Award (with Kung-Yee Liang) from the International Statistical Institute, 2015
Honorary Doctoral Degree, University of Lancaster (School of Medicine), 2015
Samuel S. Wilks Award. American Statistical Association, 2008
Marvin Zelen Leadership Award in Statistical Science, 2007
Bradford Hill Medal, Royal Statistical Society, 2007
Member, National Academy of Sciences’ Institute of Medicine, 2006
Golden Apple Award, 2006, 2002, 1988
Ernest Lyman Stebbins Medal,1996
Spiegelman Award, 1991
Snedecor Award from American Statistical Association (with Kung-Yee Liang, 1986-1987
- biostatistics environmental statistics epidemiologic statistics hierarchical models longitudinal data analysis regression analysis time series analysis international health
Diggle PJ, Heagerty P, Liang KY, and Zeger SL. The Analysis of Longitudinal Data. Oxford, England: 2nd edition. Oxford University Press, 2002.
Liang K-Y, Zeger SL: Longitudinal data analysis using generalized linear models. Biometrika 73(1):13-22, 1986.
Zeger SL, Liang K-Y: Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42(1):121-130, 1986.
Zeger SL, Wyant T, Miller LS, Samet J: Statistical testimony on damages in Minnesota v. Tobacco Industry. In: Statistical Science in the Courtroom. Gastwirth J, editor. New York: Springer-Verlag, 2000.
Wu Z, Deloria-Knoll M, Hammitt LL, Zeger SL for the PERCH Core Team. Partially-latent class models (pLCM) for case-control studies of childhood pneumonia etiology. Journal of the Royal Statistical Society, Series C. to appear, 2015.
- National Evaluation Program
- Pneumonia Etiology Research for Children's Health (PERCH)