Applied Statistics –Subharup Guha & Louise Ryan 

 This week the Applied Statistics Workshop will present a talk by  Subharup Guha , Post-Doctoral Research Fellow in the Harvard School of Public Health Department of Biostatistics, and  Louise Ryan , Henry Pickering Walcott Professor of Biostatistics in the Harvard School of Public Health and Department of Biostatistical Science at the Dana-Farber Cancer Institute.   

 Before coming to Harvard, Dr. Guha received his Ph.D. in Statistics at Ohio State University.  Dr. Guha’s publications appear in Environmental and Ecological Statistics, Journal of the American Statistical Association, Journal of Computational and Graphical Statistics and the Journal of the Royal Statistical Society.  His research interests include Bayesian modeling, computational biology, MCMC simulation, Semiparametric Bayesian methods, Spatio-temporal models and survival analysis.   

 Professor Ryan earned her Ph.D. in Statistics from Harvard University, and has been a member of the Department of Biostatistics since then.  She has received numerous honors and distinctions during that time including the the Spiegelman Award from the American Public Health Association, and was named Mosteller Statistician of the Year.  She has published extensively in Biometrics, Journal of the American Statistical Association, Journal of Clinical Oncology, and the New England Journal of Medicine.  Her research interests focus on statistical methods related to environmental risk assessment for cancer, developmental and reproductive toxicity and other non-cancer endpoints such as respiratory disease, with a special interest in the analysis of multiple outcomes as they occur in these applied settings.   

 Dr. Guha and Professor Ryan will present a talk entitled "Gauss-Seidel Estimation of Generalized Linear Mixed Models with Application to Poisson Modeling of Spatially Varying Disease Rates." The paper that accompanies the talk is available from the  course website . The presentation will be at noon on Wednesday, October 4th, in Room N354, CGIS North, 1737 Cambridge St. Lunch will be provided.