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Scott L. Zeger, PhD

  • Professor

Departmental Affiliations

Center & Institute Affiliations

Contact Information

615 N. Wolfe Street
Room E3650
Baltimore, Maryland 21205


Hopkins inHealth

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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 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 "individualized health", that is to use population data to improve decisions about an individual's health state, trajectory or likely benefits and costs of competing interventions. We have applied our novel methods to estimate the etiology of children's pneumonia, trajectory of mental disorders and to predict whether a man's prostate cancer is indolent or aggressive.

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
  • Bayesian statistics
  • hierarchical models
  • longitudinal data analysis
  • regression analysis
  • time series analysis
  • international health

Selected publications

  • Books/Monographs: 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. 65: 97-114, 2016.
  • Bayesian Hierarchical Models for Individualized Health
  • Johns Hopkins Individualized Health Initiative (Hopkins inHealth)
  • National Evaluation Program
  • Pneumonia Etiology Research for Children's Health (PERCH)