Sophia Rabe-Hesketh is a statistician conducting methodological research in multilevel and latent variable modeling. She has developed a modeling framework called GLLAMM (Generalized Linear Latent and Mixed Modeling) and written a publicly available software package called gllamm (http://www.gllamm.org/) to estimate these models. The theory of these models is published in Generalized Latent Variable Modeling, co-authored with Anders Skrondal, and in papers published in Psychometrika, Journal of Econometrics, Biometrics, and Journal of the Royal Statistical Society, Series A, among others. Sophia Rabe-Hesketh is also a member of the Interdepartmental Group in Biostatistics and has a part-time position as Professor and Chair of Social Statistics at the Institute of Education, University of London, UK. She is involved in several collaborative projects with researchers in education and psychiatry.
Research Expertise and Interest
biostatistics, educational statistics, latent variable models, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models