Sophia Rabe-Hesketh is a statistician whose research interests include multilevel/hierarchical modeling, item response theory, longitudinal data analysis, and missing data. She has over 100 peer-reviewed articles in over 60 different journals including Psychometrika, Journal of Econometrics, Biometrics, Journal of the Royal Statistical Society, Series A, with an h-index of 58 in Google Scholar. She has developed a modeling framework for a wide range of multilevel and latent variable models 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. Since 2002, her gllamm software has been used in over 1000 peer-reviewed papers in over 700 different journals by researchers in education, sociology, political science, economics, medicine, and statistics.
Sophia Rabe-Hesketh was elected to the National Academy of Education in 2015 and was President of the Psychometric Society in 2014-2015. She is a member of the Design and Analysis Committee for the National Assessment of Educational Progress (NAEP) and of the Techincal Advisory Group for the Program for International Student Assessment (PISA). She has been Associate Editor for Psychometrika among others and served on Editorial Boards for Journal of Educational and Behavioral Statistics, Psychological Methods, and others.
Sophia Rabe-Hesketh is also a member of the Interdepartmental Group in Biostatistics at the University of California, Berkeley. She was previously Professor of Social Statistics at the Institute of Education, University of London.
Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling Using Stata (3rd Edition). College Station, TX: Stata Press.
Rabe-Hesketh, S. and Everitt, B. S. (2006). A Handbook of Statistical Analyses using Stata (Fourth Edition). Boca Raton, FL: Chapman & Hall/CRC.
Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Boca Raton, FL: Chapman & Hall/CRC.
Everitt, B. S. and Rabe-Hesketh, S. (2001). Analyzing Medical Data using S-PLUS. New York: Springer.
Everitt, B. S. and Rabe-Hesketh, S. (1997). The Analysis of Proximity Data. London: Arnold.
Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2009). Multilevel Modelling (Vol. I, II, III, IV). London: Sage.
Selected Refereed Journal Articles since 2000
(out of 112 since 1994)
Jeon, M. and Rabe-Hesketh, S. (in press). Autoregressive growth model for longitudinal item analysis. Psychometrika.
Chung, Y., Gelman, A., Rabe-Hesketh, S., Liu, S. and Dorie, V. (2015). Weakly informative prior for point estimation of covariance matrices in hierarchical linear models. Journal of Educational and Behavioral Statistics 40, 136-157.
Skrondal, A. and Rabe-Hesketh, S. (2014). Protective estimation of mixed-effects logistic regression when data are not missing at random. Biometrika 101, 175-188.
Chung, Y., Rabe-Hesketh, S., Gelman A., Dorie, V. and Liu, J. (2013). A non-degenerate penalized likelihood estimator for variance parameters in multilevel models. Psychometrika 78, 685-709.
Ayers, E., Rabe-Hesketh, S., and Nugent, R. (2013). Incorporating student covariates in cognitive diagnosis models. Journal of Classification 30 (2), 195-224.
Chung, Y., Rabe-Hesketh, S. and Choi, I.-H. (2013). Avoiding zero between-study variance estimates in random-effects meta-analysis. Statistics in Medicine 32 (23), 4071-4089.
Rabe-Hesketh, S. and Skrondal, A. (2013). Avoiding biased versions of Wooldridge's simple solution to the initial conditions problem. Economics Letters 120 (2), 346-349.
Jeon, M., Rijmen, F. and Rabe-Hesketh, S. (2013). Modeling differential item functioning using a generalized multiple-group bifactor model. Journal of Educational and Behavioral Statistics 38 (1), 32-60.
Jeon, M. and Rabe-Hesketh, S. (2012). Profile-likelihood approach for estimating generalized linear mixed models with factor structures. Journal of Educational and Behavioral Statistics 37 (4), 518-543.
Cho, S. J. and Rabe-Hesketh, S. (2011). Alternating imputation posterior estimation of models with crossed random effects. Computational Statistics and Data Analysis 55 (1), 12-25.
Fuller, B., Bein, E., Bridges, B., Halfon, N., Jung, S., Rabe-Hesketh, S., and Kuo, A. (2010). Maternal practices that influence Latino infants' health and cognitive growth. Pediatrics 125, 324-332.
Skrondal, A. and Rabe-Hesketh, S. (2009). Prediction in multilevel generalized linear models. Journal of the Royal Statistical Society, Series A 172, 659-687.
Rabe-Hesketh, S. and Skrondal, A. (2008). Classical latent variable models for medical research. Statistical Methods in Medical Research 17, 5-32.
Rabe-Hesketh, S. Skrondal, A. and Gjessing, H. K. (2008). Biometrical modeling of twin and family data using standard mixed model software. Biometrics 64, 280-288.
Rabe-Hesketh, S. and Skrondal, A. (2007). Multilevel and latent variable modeling with composite links and exploded likelihoods. Psychometrika 72, 123-140.
Skrondal, A. and Rabe-Hesketh, S. (2007). Latent variable modelling: A survey. Scandinavian Journal of Statistics 34, 712-745.
Skrondal, A. and Rabe-Hesketh, S. (2007). Redundant overdispersion parameters in multilevel models for categorical responses. Journal of Educational and Behavioral Statistics 32, 419-430.
Rabe-Hesketh, S. and Skrondal, A. (2006). Multilevel modeling of complex survey data. Journal of the Royal Statistical Society, Series A 169, 805-827.
Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2005). Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects. Journal of Econometrics 128, 301-323.
Rabe-Hesketh, S., Skrondal, A. and Pickles, A.(2004). Generalized multilevel structural equation modelling. Psychometrika 69, 167-190.
Rabe-Hesketh, S., Pickles, A. and Skrondal, A. (2003). Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation. Statistical Modelling 3, 215-232.
Skrondal, A. and Rabe-Hesketh, S. (2003). Multilevel logistic regression for polytomous data and rankings. Psychometrika 68, 267-287. Data and Stata do-file
Patel, V., Chisholm, D., Rabe-Hesketh, S., Dias-Saxena, F., Andrew, G., Mann, A. (2003). The treatment of Common Mental Disorders in a Developing Country: A randomized controlled trial of the efficacy and cost-effectiveness of antidepressant and psychological treatments in general health care from Goa, India. The Lancet 361, 33-39.
Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2002). Reliable estimation of generalised linear mixed models using adaptive quadrature. The Stata Journal 2, 1-21.
Rabe-Hesketh, S. and Skrondal, A. (2001). Parameterization of multivariate random effects models for categorical data. Biometrics 57, 1256-1264.
Rabe-Hesketh, S., Yang, S. and Pickles, A. (2001). Multilevel models for censored and latent responses. Statistical Methods in Medical Research 10, 409-427.
Wright, C. W., Rabe-Hesketh, S., Woodruff, P. W. R., David, A. S., Murray, R. M., Bullmore, E. T. Meta-Analysis of Regional Brain Volumes in Schizophrenia (2000). The American Journal of Psychiatry 157, 1-25.
Selected Book Chapters
(out of 14)
Rabe-Hesketh, S. and Skrondal, A. (forthcoming). Generalized linear latent and mixed models. In van der Linden, W. J. and Hambleton, R. K. Handbook of Item Response Theory: Models, Statistical Tools, and Applications. Boca Raton, FL: Chapman \& Hall/CRC Press, volume 1, chapter 30.
Rabe-Hesketh, S., Skrondal, A. and Zheng, X. (2012). Generalized multilevel structural equation modeling. In Hoyle, R. (Ed.). Handbook of Structural Equation Modeling. Guilford Press, pp. 512-531.
Rabe-Hesketh, S. and Skrondal, A. (2010). Generalized linear mixed models. Penelope Peterson, Eva Baker, Barry McGaw (Eds.). International Encyclopedia of Education (Third Edition). Oxford: Elsevier, volume 7, pp. 171-177.
Rabe-Hesketh, S. and Skrondal, A. (2009). Generalized linear mixed effects models. In G. Fitzmaurice, M. Davidian, G. Verbeke and G. Molenberghs (eds.). Longitudinal Data Analysis. Boca Raton, FL: Chapman & Hall/CRC, pp. 79-106.
Bollen, K., Rabe-Hesketh, S. and Skrondal, A. (2008). Structural equation models. In Box-Steffensmeier, J. M., Brady, H. and Collier, D. (eds.) Oxford Handbook on Political Science. Oxford: Oxford University Press, pp. 432-455.
Skrondal, A. and Rabe-Hesketh, S. (2007). Multilevel and related models for longitudinal data. In de Leeuw, J. and Meijer. E. (eds.). Handbook of Multilevel Analysis. New York: Springer, pp. 275-299.
Selected Invited Presentations and Workshops at International Conferences
International Meeting of the Psychometric Society, Beijing, China, 2015 (Presidential Address)
29th International Workshop on Statistical Modelling, Göttingen, Germany, 2014 (Keynote)
Annual Meeting of the American Educational Research Association, Hierarchical Linear Modeling SIG, Vancouver, Canada, 2012. (keynote)
Australian Statistical Conference. Adelaide, Australia, 2012. (keynote)
Statistical Modelling and Inference Conference to celebrate Murray Aitkin's 70th birthday. Queensland University of Technology, Brisbane, Australia, 2010. (keynote)
11th Annual Symposium on Statistics in Psychiatry, Yale University, New Haven, CT, USA, 2010. (keynote)
8th German Stata Users Group Meeting, Humboldt University, Berlin, Germany, 2010. (keynote)
XXV International Methodology Symposium of Statistics Canada, Ottawa, Canada, 2009.
Mexican Stata Users Group Meeting, Mexico City, Mexico, 2009. (keynote)
International Meeting of the Psychometric Society, Durham, NH, 2008. (keynote)
XXIV International Biometric Conference, Dublin, Ireland, 2008.
XXIX International Congress of Psychology, Berlin, Germany, 2008.
Annual Meeting of the Norwegian Statistical Association, Tromsø, Norway, 2007.
Winemiller 2006 Conference on Methodological Developments of Statistics in the Social Sciences. University of Missouri, Columbia, MS, 2006. (keynote)
Annual Meeting of the Statistical Society of Canada, London, Ontario, 2006.
MOLS 2006: Methodology of Longitudinal Surveys. University of Essex, Colchester, UK, 2006.
Cutting Edge Developments in Multilevel Modelling, ESRC Research Methods Festival, Oxford, 2006.
14th International Meeting of the Psychometric Society, Tilburg, The Netherlands, 2005
Biennial Conference of the "Fachgruppe Methoden und Evaluation" of the German Psychological Society. University of Münster, Germany, 2005. (keynote)
2005 ICSA Applied Statistics Symposium. Washington DC Metropolitan Area, USA, 2005.
Annual meeting of the National Council on Measurement in Education, San Diego, California, 2004.
13th International Meeting of the Psychometric Society. Pacific Grove (Monterey), California, 2004.
19th International Workshop on Statistical Modelling. Florence, Italy, 2004.
Third North American Users' Group Meeting. Boston, Massachusetts, 2004.
Fourth International Amsterdam Conference on Multilevel Analysis, Amsterdam, The Netherlands, 2003. (Keynote)
International Biometric Society - Nordic Region Conference. Uppsala, Sweden, 2003.
Dutch and German Stata User Group Meeting, Maastricht, The Netherlands, 2002. (Keynote)
Third International Amsterdam Conference on Multilevel Analysis, Amsterdam, The Netherlands, 2001. (Keynote)
- 2003-present: Professor of Educational Statistics, Graduate School of Education (Policy, Organization, Measurement and Evaluation) and Graduate Group in Biostatistics, University of California, Berkeley
- 2006-2012: Professor of Social Statistics (part-time), Institute of Education, University of London, UK
- 2003-2003: Reader in Statistics, Department of Biostatistics and Computing, Institute of Psychiatry, King's College, University of London
- 1999-2003: Senior Lecturer in Statistics, Department of Biostatistics and Computing, Institute of Psychiatry, King's College, University of London
- 1994-1999: Lecturer in Statistics, Department of Biostatistics and Computing, Institute of Psychiatry, King's College, University of London
- 1992-1994: Postdoctoral Research Fellow (SERC Fellowship), Department of Statistics, University of Leeds