Rabe-Hesketh earned a bachelor's degree in physics from King's College London in 1988. She completed her doctorate at King's College, also in theoretical physics, in 1992. Her dissertation concerned image analysis. After postdoctoral studies at the University of Leeds, she returned to King's College as a reader in statistics in the Department of Biostatistics and Computing, part of the Institute of Psychiatry there. She moved to Berkeley in 2003, with an additional part-time professorship at the University of London from 2006 to 2012. She became president of the Psychometric Society in 2014.[1]
She is the author or co-author of multiple books, including The Analysis of Proximity Data (1997, with B. S. Everitt), Analyzing Medical Data using S-PLUS (2001, with B. S. Everitt), Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models (2004, with A. Skrondal), A Handbook of Statistical Analyses Using Stata (4th ed., 2006, with B. S. Everitt), and Multilevel and Longitudinal Modeling Using Stata (3rd ed., in two vols., with A. Skrondal).[2]
In 2014 she was elected as a Fellow of the American Statistical Association "for groundbreaking contributions to the field of generalized linear latent and mixed models for analysis of complex data in medicine, education, and the social sciences; for development of computational software; and for service to the profession."[3] In 2015 she was elected to the National Academy of Education.[1]
Sophia Rabe-Hesketh publications indexed by Google Scholar
January 01, 1970
sophia, rabe, hesketh, statistician, works, professor, department, educational, statistics, biostatistics, university, california, berkeley, research, involves, development, generalized, linear, mixed, models, data, that, incorporate, latent, variables, handle. Sophia Rabe Hesketh is a statistician who works as a professor in the Department of Educational Statistics and Biostatistics at the University of California Berkeley 1 Her research involves the development of generalized linear mixed models of data that incorporate latent variables to handle hidden data Rabe Hesketh earned a bachelor s degree in physics from King s College London in 1988 She completed her doctorate at King s College also in theoretical physics in 1992 Her dissertation concerned image analysis After postdoctoral studies at the University of Leeds she returned to King s College as a reader in statistics in the Department of Biostatistics and Computing part of the Institute of Psychiatry there She moved to Berkeley in 2003 with an additional part time professorship at the University of London from 2006 to 2012 She became president of the Psychometric Society in 2014 1 She is the author or co author of multiple books including The Analysis of Proximity Data 1997 with B S Everitt Analyzing Medical Data using S PLUS 2001 with B S Everitt Generalized Latent Variable Modeling Multilevel Longitudinal and Structural Equation Models 2004 with A Skrondal A Handbook of Statistical Analyses Using Stata 4th ed 2006 with B S Everitt and Multilevel and Longitudinal Modeling Using Stata 3rd ed in two vols with A Skrondal 2 In 2014 she was elected as a Fellow of the American Statistical Association for groundbreaking contributions to the field of generalized linear latent and mixed models for analysis of complex data in medicine education and the social sciences for development of computational software and for service to the profession 3 In 2015 she was elected to the National Academy of Education 1 References edit a b c Curriculum vitae retrieved 2016 07 18 For published book reviews see Rabe Hesketh s collection of links retrieved 2016 07 18 ASA Honors 63 New Fellows PDF American Statistical Association June 11 2014 retrieved 2016 07 11 External links editHome page Sophia Rabe Hesketh publications indexed by Google Scholar nbsp Retrieved from https en wikipedia org w index php title Sophia Rabe Hesketh amp oldid 1121676562, wikipedia, wiki, book, books, library,
