Sophia Rabe-Hesketh

Sophia Rabe-Hesketh is a Professor of Educational Statistics and Biostatistics at the University of California, Berkeley. She was previously Professor of Social Statistics at the Institute of Education, University of London and Reader in Statistics at the Institute of Psychiatry, University of London.

She is an applied statistician in the areas of social statistics, biostatistics and psychometrics. Her research interests include missing data, multilevel modeling, longitudinal data analysis, and latent variable modeling. Sophia developed a general modeling framework (see GLLAMM below) and software to estimate the models. She is also involved in many collaborative projects in education, psychology, and medicine.

Sophia's publications include 6 authored books, 109 peer-reviewed articles in over 60 different journals, and 14 book chapters. Her h-index is 38 in the ISI Web of Science (56 in Google Scholar), meaning that her 38 most-cited papers have each been cited at least 38 times. For full lists of publications and citations, see: ResearcherID and Google Scholar.

She is the President of the Psychometric Society, a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. Sophia is a former co-editor of Statistical Methods in Medical Research and of the Chapman & Hall/CRC book series Statistics in the Social and Behavioral Sciences and currently serves as on the technical advisory committees for the U.S. National Assessment of Educational Progress (NAEP) and the Programme for International Student Assessment (PISA).

• Elected to the National Academy of Education, 2015
  
• President of the Psychometric Society, 2014
  
• Fellow of the American Statistical Association, 2014
  
• Recently published:
  • Skrondal, A. and Rabe-Hesketh, S. (2014). Protective estimation of mixed-effects logistic regression when data are not missing at random. Biometrika. 101 (1), 175-188. get
  • Skrondal, A. and Rabe-Hesketh, S. (2014). Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity. Journal of the Royal Statistical Society, Series C 63 , 211-237. get
  • Castellano, K. F., Rabe-Hesketh. S. and Skrondal, A. (2014). Composition, context, and endogeneity in school and teacher comparisons. Journal of Behavioral and Educational Statistics 39, 333-367.
• New grant: 2014-2016. Gelman, A., Rabe-Hesketh, S. and Carpenter, R. (PIs). Solving Difficult Bayesian Computation Problems in Education Research Using Stan. U.S. Department of Education, Institute of Education Sciences.
• Advisee dissertation awards:
  • Michelle LaMar: 2015 Psychometric Society Dissertation Prize
  • Ronli Diakow: 2015 Brenda Loyd Dissertation Award from National Council on Measurement in Education
  • Minjeong Jeon: 2014 Brenda Loyd Dissertation Award from National Council on Measurement in Education

President of the Psychometric Society, 2014

Fellow of the American Statistical Association, 2014

UC Berkeley Faculty Award for Outstanding Mentorship of Graduate Student Instructors, 2012

Elected member of the International Statistical Institute, 2008

Generalised Linear Latent And Mixed Models (GLLAMM) are a general class of multilevel latent variable models. The framework unifies and extends generalized linear mixed models, multilevel factor and item response models, multilevel structural equation models, and latent class models. Sophia has written a Stata program, gllamm, to estimate these models as part of joint work with Anders Skrondal and Andrew Pickles. Since 2002, the program has been used in over 1,000 peer-reviewed papers in over 700 different journals by researchers in education, sociology, political science, economics, medicine, and statistics. Click here to find out more or to download the gllamm program files.

Books -- authored

Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling Using Stata (Third Edition). College Station, TX: Stata Press. Volume I: Continuous Responses. Datasets and do-files Reviews gllamm companion Over 15,000 copies sold (across editions)

Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling Using Stata (Third Edition). College Station, TX: Stata Press. Volume II: Categorical Responses, Counts, and Survival. Datasets and do-files Reviews Over 15,000 copies sold (across editions)

Rabe-Hesketh, S. and Everitt, B. S. (2006). A Handbook of Statistical Analyses Using Stata. (Fourth Edition). Boca Raton, FL: Chapman & Hall/CRC. Datasets Over 10,000 copies sold (across editions)

Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Boca Raton, FL: Chapman & Hall/CRC. Datasets and do-files Remarks and corrections Reviews Translated into Chinese, Chongqing University Press, 2011.

Everitt, B. S. and Rabe-Hesketh, S. (2001). Analyzing Medical Data using S-PLUS. Springer. Scipts and datasets

Everitt, B. S. and Rabe-Hesketh, S. (1997). The Analysis of Proximity Data. London: Arnold.

Books -- edited

Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modelling London: Sage. Vol. I: Linear Multilevel Models: Model Formulation Vol. II: Linear Multilevel Models: Inference, Diagnostics, and Design Vol. III: Multilevel Generalized Linear Models Vol. IV: Complex Models and Issues

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. get

Castellano, K. F., Rabe-Hesketh. S. and Skrondal, A. (2014). Composition, context, and endogeneity in school and teacher comparisons. Journal of Behavioral and Educational Statistics 39, 333-367.

Cho, S.-J., de Boeck, P., Embretson, S. and Rabe-Hesketh, S. (2014). Additive multilevel item structure models with random residuals: Item modeling for explanation and item generation. Psychometrika 79 , 84-104.

Skrondal, A. and Rabe-Hesketh, S. (2014). Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity. Journal of the Royal Statistical Society, Series C 63 , 211-237. get

Bates, M., Castellano, K. E., Rabe-Hesketh, S. and Skrondal, A. (2014). Handling correlations between covariates and random slopes in multilevel models. Journal of Educational and Behavioral Statistics 39, 524-549.

Miranda, A. and Rabe-Hesketh, S. (2014). Missing ordinal covariates with informative selection. Journal of the Royal Statistical Society, Series A 177 (2), 319-344.

Chung, Y., Rabe-Hesketh, S., Gelman A., Dorie, V. and Liu, J. (2013). A nondegenerate penalized likelihood estimator for variance parameters in multilevel models. Psychometrika 78 (4), 685-709. get

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. get

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.

Ayers, E., Rabe-Hesketh, S., and Nugent, R. (2013). Incorporating student covariates in cognitive diagnosis models. Journal of Classification 30 (2), 195-224.

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.

Feldman, B. and Rabe-Hesketh, S. (2012). Modeling achievement trajectories when attrition is informative. Journal of Educational and Behavioral Statistics 37 (6), 703-736.

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), 518-542. get

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. get

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 (3), 659-687. get

Rabe-Hesketh, S. and Skrondal, A. (2008). Classical latent variable models for medical research. Statistical Methods in Medical Research 17, 5-32. get

Rabe-Hesketh, S. Skrondal, A. and Gjessing, H.K. (2008). Biometrical modeling of twin and family data using standard mixed model software. Biometrics 64 (1), 280-288. get
Datasets and do-files; See also Slides, do-file and datasets from 2010 German Stata Users Group Meeting

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. get

Skrondal, A. and Rabe-Hesketh, S. (2007). Latent variable modelling: A survey. Scandinavian Journal of Statistics 34, 712-745. get

Rabe-Hesketh, S. and Skrondal, A. (2007). Multilevel and latent variable modeling with composite links and exploded likelihoods. Psychometrika 72, 123-140. get

Zheng, X. and Rabe-Hesketh, S. (2007). Estimating parameters of dichotomous and ordinal item response models using gllamm . The Stata Journal 7, 313-333. Data and do-file

Rabe-Hesketh, S. and Skrondal, A. (2006). Multilevel modelling of complex survey data. Journal of the Royal Statistical Society, Series A 169, 805-827. get Dataset and do-file

Miranda, A. and Rabe-Hesketh, S. (2005). Maximum likelihood estimation of endogenous switching and sample selection models for binary, count, and ordinal variables . The Stata Journal 6, 285-308. Data and do-file

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. get

Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2004). Generalized multilevel structural equation modelling. Psychometrika 69, 167-190. get

Landau, S., Rabe-Hesketh, S. and Everall, I. (2004). Nonparametric one-way analysis of variance of replicated bivariate spatial point patterns. Biometrical Journal 46, 19-34.

Ismail, K., Winkley, K., Rabe-Hesketh, S. (2004). Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. The Lancet 363, 1589-1597.

Skrondal, A. and Rabe-Hesketh, S. (2003). Multilevel logistic regression for polytomous data and rankings. Psychometrika 68, 267-287. get
ASCII data and Stata do-file

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. get

Rabe-Hesketh, S. and Skrondal, A. and Pickles, A. (2003). Maximum likelihood estimation of generalized linear models with covariate measurement error . The Stata Journal 3, 385-410. Data and do-file

Skrondal, A. and Rabe-Hesketh, S. (2003). Some applications of generalized linear mixed models in epidemiology: repeated measures, measurement error and multilevel modelling . Norwegian Journal of Epidemiology 13 (2), 265-278.

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 (4), 1256-1264. get

Rabe-Hesketh, S., Yang, S. and Pickles, A. (2001). Multilevel models for censored and latent responses. Statistical Methods in Medical Research 10, 409-427. get

Rabe-Hesketh, S., Toulopoulou, T. and Murray, R. (2001). Multilevel modeling of cognitive function in schizophrenic patients and their first degree relatives. Multivariate Behavioral Research 36, 279-298. get

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.

Bullmore, E. T., Suckling, J., Overmeyer, S., Rabe-Hesketh, S. and Brammer, M. J. (1999). Global, voxel and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain. IEEE Transactions on Medical Imaging 18, 32-42.

Cannon, M., Jones, P., Huttunen, M. O., Tankanend, A., Murray, R. M. and Rabe-Hesketh, S. (1999). School performance in Finnish school children and later development of schizophrenia: a population-based longitudinal study. Archives of General Psychiatry 56, 457-463.

Rabe-Hesketh, S. (1998) Analysing violent incidents and other events. International Journal of Methods in Psychiatric Research 7, 204-209.

Rabe-Hesketh, S. Bullmore, E.T. and Brammer, M. J. (1997). The analysis of functional magnetic resonance images. Statistical Methods in Medical Research 6, 215-237.

Brammer, M. J., Bullmore, E. T., Simmons, A., Williams, S. C. R., Grasby, P. M., Howard, R. J. Woodruff, P. W. R. and Rabe-Hesketh, S. (1997). Generic brain activation mapping in fMRI - a nonparametric approach. Magnetic Resonance Imaging 15, 763-770.

Bullmore, E. T., Brammer M. J., Williams, S. C. R., Rabe-Hesketh, S., Janot, N., David, A., Mellers, J., Howard, R. and Sham, P. (1996). Statistical methods of estimation and inference for functional MR image analysis. Magnetic Resonance in Medicine 35, 261-277.

Rabe, S. and Mardia, K. V. (1994). Generalised Ising models and their applications. Journal of Applied Statistics 21, 487-502.

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. (2008). Generalized linear mixed effects models. In G. Fitzmaurice, M. Davidian, G. Verbeke and G. Molenberghs (eds.). Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. 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 Methodology. Oxford: Oxford University Press, pp. 432-455.

Rabe-Hesketh, S., Skrondal, A. and Zheng, X. (2007). Multilevel structural equation modeling. In Lee, S.-Y. (ed.). Handbook of Latent Variable and Related Models. Amsterdam: Elsevier, pp. 209-227.

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.

Co-editor of Statistical Methods in Medical Research, 2006-2011

Book series editor for the Chapman & Hall/CRC series on Statistics in the Social and Behavioral Sciences, 2006-2012

Editor for 'Longitudinal and Multilevel Modelling' in Encyclopedia of Statistics in Behavioral Science. Wiley 2005.

Associate editor of Psychometrika, 2005-present

Associate editor of Statistical Modelling, 2005-2011

Associate editor of The Stata Journal, 2001-present.

Book review editor for Statistical Methods in Medical Research, 2000-2003.

Guest editor for a special issue on "Latent Variable Modeling" of Statistical Methods in Medical Research 17 (1), 2008.

Guest editor for a special issue on "Analysis of Medical Images" of Statistical Methods in Medical Research 6 (3), 1997.

Member of editorial board of Journal of Educational and Behavioral Statistics, 2011-present

Member of editorial board of Structural Equation Modeling, 2006-present

Member of editorial board of Psychological Methods, 2007-present

President of the Psychometric Society, 2014

Principal panel member of the Statistics and Modeling Review Panel (grant proposals), Institute of Education Sciences, US Department of Education, 2009-2012

Member of the Technical Advisory Group for the OECD Program of International Student Assessment (PISA), 2007-present

Elected member of the Board of Trustees of the Psychometric Society, 2007-2009 and 2012-2015

Member of the Design and Analysis Committee for the U.S. National Assessment of Educational Progress (NAEP), 2006-present

Modern Modeling Methods Conference, University of Connecticut, Storrs, CO, USA, 2014. (Keynote)

Eastern North American Region of the Biometric Society (ENAR) 2014 Spring Meeting, Baltimore, MD, USA, 2014. (Invited)

21st Australian Statistical Conference, Adelaide, Australia, 2012. (Keynote)

Annual Meeting of the American Educational Research Association, Hierarchical Linear Modeling SIG, Vancouver, Canada, 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)

London School of Hygiene and Tropical Medicine, London, UK, 2009. (Seminar)

Institute of Education, London, UK, 2009. (Seminar)

Mexican Stata Users Group Meeting, Mexico City, Mexico, 2009. (Keynote)

Department of Statistics and Econometrics, University of Geneva, Geneva, Switzerland, 2008. (Seminar)

Department of Biostatistics, University of Washington, Seattle, WA, USA, 2008. (Seminar)

Methods of Analysis Program in the Social Sciences, Stanford University, CA, USA, 2008. (Seminar)

73rd Annual Meeting of the Psychometric Society, Durham, NH, USA, 2008. (Invited)

XXIX International Congress of Psychology, Berlin, Germany, 2008. (Invited, symposium)

Educational Testing Service, Princeton, NJ, USA, 2007. (Seminar)

Quantitative Methods in the Social Sciences Colloquium, University of California, Santa Barbara, CA, USA, 2007. (Seminar)

34th Annual Meeting of the Statistical Society of Canada, London, Canada, 2006. (Invited, symposium)

Winemiller Conference on Methodological Developments of Statistics in the Social Sciences. University of Missouri, Columbia, MS, USA, 2006. (Keynote)

14th International Meeting of the Psychometric Society, Tilburg, The Netherlands, 2005. (Invited, symposium)

Biennial Conference of the "Fachgruppe Methoden und Evaluation" of the German Psychological Society. University of Münster, Germany, 2005. (Keynote)

Division of Biostatistics, University of California, San Francisco, CA, USA, 2005. (Seminar)

24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences, Jena, Germany, 2004. (Invited, symposium)

Annual meeting of the National Council on Measurement in Education, San Diego, CA, USA, 2004. (Invited, symposium)

Center for AIDS Prevention Studies, San Francisco, CA, USA, 2004.(Seminar)

Berkeley Evaluation and Assessment Research Center, University of California, Berkeley, CA, USA, 2004. (Seminar)

School of Mathematics and Statistics, University of Newcastle, UK, 2003.

Fourth International Amsterdam Conference on Multilevel Analysis, Amsterdam, The Netherlands, 2003. (Keynote)

Neyman Seminar, Department of Statistics, University of California, Berkeley, CA, USA, 2003. (Seminar)

California Center for Population Research and Department of Sociology. University of California, Los Angeles, CA, USA, 2003. (Seminar)

Inter Faculty Statistics Seminar Series, University of Southampton, UK, 2003.

Department of Epidemiology and Biostatistics, Institute of Child Health, London, UK, 2003. (Seminar)

Multilevel modelling of longitudinal survey data. Course at the XXV International Methodology Symposium of Statistics Canada (with Anders Skrondal), Ottawa, Canada, 2009.

Multilevel and longitudinal modeling. Two-day course at the Institute of Education (with Anders Skrondal), University of London, UK, 2009.

Generalized linear latent and mixed models. Course at the XXIV International Biometric Conference (IBC2008) (with Anders Skrondal), Dublin, Ireland, 2008.

Generalized linear latent and mixed models. Course at the Annual Meeting of the Norwegian Statistical Association (with Anders Skrondal), Tromsø, Norway, 2007.

Multilevel modeling using Stata. Course at the 2006 Summer Update Program in Public Health and Epidemiology (with Anders Skrondal), Instituto Nacional de Salud Pública, Morelos, Mexico, 2006.

Generalized linear latent and mixed models. Course at the Joint Statistical Meetings 2006, sponsored by the Biometrics Section of the American Statistical Association (with Anders Skrondal), Seattle, WA, USA, 2006.

Multilevel Modelling for Longitudinal Survey Data. Course at MOLS 2006: Methodology of Longitudinal Surveys (with Anders Skrondal). University of Essex, Colchester, UK, 2006.

Generalized linear latent and mixed models. Biennial Conference of the "Fachgruppe Methoden und Evaluation" of the German Psychological Society (with Anders Skrondal). University of Münster, Germany, 2005.

Generalized linear latent and mixed models. 2005 ICSA Applied Statistics Symposium sponsored by International Chinese Statistical Association (with Anders Skrondal). Washington DC Metropolitan Area, USA, 2005.

Generalized latent variable modeling. SAMSI (Statistical and Applied Mathematical Sciences Institute) theme year on Latent Variable Models in the Social Sciences (with Anders Skrondal). Research Triangle Park, NC, USA, 2005.

Multilevel Modeling using the Stata program gllamm. Course at the 2005 Summer Update Program in Public Health and Epidemiology (with Anders Skrondal). Instituto Nacional de Salud Pública, Morelos, Mexico, 2005.

Generalized latent variable modeling. Tutorial at the Workshop on Latent Variable Models and Complex Survey Data, part of the SAMSI theme year on Latent Variable Models in the Social Sciences (with Anders Skrondal). Montreal, Canada, 2005.

Multilevel and latent variable modeling of discrete data. Preconference course, Annual Meeting of the Psychometric Society (with Anders Skrondal). Pacific Grove (Monterey), CA, USA, 2004.

Generalized linear latent and mixed modeling. Preconference course, 19th International Workshop on Statistical Modelling (with Anders Skrondal). Florence, Italy, 2004.

Generalized linear latent and mixed models (GLLAMMs). Workshop at the Third North American Users' Group Meeting (with Anders Skrondal). Boston, MA, USA, 2004.

Multilevel Modeling of Discrete Responses. Center on Quantitative Social Science Research, University of California, Davis, CA, USA, 2004.

Multilevel and latent variable modeling using gllamm. Preconference course at the International Biometric Society - Nordic Region Conference (with Andrew Pickles and Anders Skrondal). Uppsala, Sweden, 2003.

Multilevel Models. Short Course Programme, Center for Applied Statistics (with Iraj Kazemi). Lancaster University, Lancaster, UK. Latent variable models. Lancaster, UK, 2003.