Scott L. Zeger (Johns Hopkins Bloomberg School of Public Health, Biostatistics) is a biostatistician known for generalized estimating equations (GEE) and longitudinal data methods. With Dominici and Samet, he developed the two-stage Bayesian hierarchical design for the NMMAPS 20-city air pollution–mortality study, in which Stage 1 semiparametric Poisson GAMs are fitted per city and their sufficient statistics pooled via a normal–inverse-Wishart hierarchy at Stage 2.