ANDERS SKRONDAL




 


PDF of CV | Summary | News | Books | Contact details | Fields of interest | GLLAMM | Awards and Honours | Professional service | Research courses | Keynote lectures | Books | Statistical publications | Research monographs


 

Summary

Anders Skrondal is a Senior Scientist at the Division of Epidemiology, Norwegian Institute of Public Health and an Adjunct Professor of Psychometrics at the Centre for Educational Measurement, University of Oslo. His research interests include topics in statistics, biostatistics, social statistics, econometrics and psychometrics.

Skrondal started his career as a Research Fellow in the Department of Economics and as a Researcher in the Department of Biostatistics, both at the University of Oslo. His Doctor Philos thesis in Statistics was awarded the 1997 Psychometric Society Dissertation Prize, judged on "the level of originality in the ideas and techniques, the possible applications and their treatment, and potential impact". He was subsequently awarded a personal Postdoctoral Fellowship from The Research Council of Norway which was spent at the University of London and the University of Manchester. After returning to Norway in 2001, Skrondal became a Senior Researcher and subsequently Head of the Biostatistics Group at the Norwegian Institute of Public Health. In 2005 he took up a position as Professor of Statistics in the Department of Statistics at the London School of Economics (LSE) and was subsequently appointed as Director of the LSE Methodology Institute. After spending almost four years at the LSE, Skrondal returned to the Norwegian Institute of Public Health where he is currently a Senior Scientist. He recently served as Adjunct Professor of Biostatistics in the Department of Mathematics, University of Oslo.

A major part of Skrondal's statistical work has been related to the development of the Generalized Linear Latent and Mixed Model (GLLAMM) framework which unifies and generalizes latent variable modeling and multilevel modeling. Output include papers published in statistical, biostatistical, psychometric and econometric journals as well as several bestselling books. Skrondal also collaborates with researchers in medicine, psychology, and the social sciences, and was recently instrumental in publishing a paper in the New England Journal of Medicine. In total, he has published papers in more than 50 different peer-reviewed journals and 12 books. His h-index is 46 in Google Scholar, meaning that his 46 most-cited publications have each been cited at least 46 times. The gllamm software for fitting GLLAMMs has been used in articles in more than 700 different journals. Skrondal is regularly giving workshops and keynote lectures on his research worldwide.

Anders Skrondal was recently elected as President of the Psychometric Society for 2016-2017. He is an Honorary Professor at the London School of Hygiene and Tropical Medicine (LSHTM) and an elected member of the International Statistical Institute and the Board of Trustees of the Psychometric Society. Skrondal is a former co-editor of the journal Statistical Methods in Medical Research and of the Chapman & Hall/CRC book series Statistics in the Social and Behavioral Sciences, and has been an elected member of the Research Section Committee of the Royal Statistical Society (selecting papers to be read for the Society) and the editorial council of Psychometrika. Skrondal has served on scientific committees for international conferences, taken part in expert panels evaluating academic institutions, served as member of international scientific advisory boards, and reviewed research proposals and/or research programs for various funding bodies worldwide.

 

News


  • Elected as President of the Psychometric Society 2016-2017

  • Appointed as Adjunct Professor of Psychometrics at University of Oslo

  • gllamm software used in articles in more than 700 different journals

  • Paper in New England Journal of Medicine (impact factor 54) won "Best Paper of the Year Award" from Norwegian Epidemiological Society

  • Selected Recent Publications:

     

    Books

    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


    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


    Everitt, B.S. and Skrondal, A. (2010). The Cambridge Dictionary of Statistics (Fourth Edition).

    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.

    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

    Contact Details

    Division of Epidemiology
    Norwegian Institute of Public Health

    P.O.Box 4404 Nydalen
    N-0403 Oslo
    Norway

    Tel: (+47) 21 07 81 96
    Fax: (+47) 21 07 82 52
    Email: anders.skrondal@fhi.no

     

    Fields of Interest

    • Multilevel modelling
    • Latent variables
    • Longitudinal data
    • Missing data
    • Psychometrics
    • Microeconometrics
    • Analytical epidemiology

     

    GLLAMM

    Generalised Linear Latent And Mixed Models (GLLAMMs) include a large variety of multilevel latent variable models including generalised linear mixed models, multilevel factor models or item response models, multilevel structural equation models and latent class models.

    The Stata program gllamm estimates GLLAMMs by maximum likelihood using adaptive quadrature. The software has been used in numerous books and in articles in more than 700 different journals. Users are from many disciplines including medicine, biology, sociology, political science, economics, veterinary science, psychology, law, education, and statistics. The gllamm manual has been downloaded more than 35,000 times since October 2004.

    Click here to find out more or to download the gllamm program files.

     

    Major Awards and Honours

    1997 Psychometric Society Dissertation Prize.

    Elected member of the International Statistical Institute.

    Elected member of the Editorial Council of Psychometrika (2009-2012)

    Elected member of the Board of Trustees, Psychometric Society (2014-2017)

    Elected member of the Research Section Committee of the Royal Statistical Society (2006-2009).

    Honorary Professor, London School of Hygiene and Tropical Medicine.

    Fulbright Flagship Professor, University of California, Berkeley (2013-2014).

    Elected President of the Psychometric Society (2016-2017)

     

    Selected Professional Service

    Co-Editor of Statistical Methods in Medical Research, 2005-2010.

    Editor of the Chapman & Hall/CRC book series Statistics in the Social and Behavioral Sciences, 2006-2012.

    Associate Editor of Journal of the Royal Statistical Society, Series A, 2005-2008.

    Section Editor for 'Longitudinal and Multilevel Modelling' in Encyclopaedia of Statistics in Behavioral Science, Wiley 2005.

    Member of the International Expert Panel evaluating the Department of Finance, Copenhagen Business School

    Member of the International Scientific Advisory Board, Swedish Research Council initiative for Research on Microdata in the Social and Medical Sciences (SIMSAM), 2012-2014.

    Member of scientific committees for international conferences

    Reviewer of research proposals and/or research programs for UK Medical Research Council (MRC), UK Economic and Social Research Council (ESRC), US National Science Foundation (NSF) and several other funding bodies

     

    Research Courses and Workshops

    Multilevel and longitudinal modeling. Two-day course for the National Centre for Research Methods, University of London, UK, 2011.

    Applied longitudinal data analysis. Three-day course at the University of Oslo School in Biostatistics, Oslo, Norway, 2010.

    Multilevel and longitudinal modeling. Two-day course for the National Centre for Research Methods, University of London, UK, 2010.

    Multilevel and longitudinal modeling. Two-day course for the National Centre for Research Methods, University of London, UK, 2009.

    Multilevel modelling of longitudinal survey data. Course at the XXV International Methodology Symposium, Statistics Canada, Ottawa, Canada, 2009.

    Generalized linear latent and mixed models. Course at the XXIVth International Biometric Conference, Dublin, Ireland, 2008.

    Generalized linear latent and mixed models. Course at the Annual Meeting of the Norwegian Statistical Association, Tromso, Norway, 2007.

    Multilevel Modeling using Stata. Course at the 2006 Summer Update Program in Public Health and Epidemiology, Instituto Nacional de Salud Pública, Cuernavaca, 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), Seattle, USA, 2006

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

    Generalized linear latent and mixed models. Course at the Biennial Conference of the "Fachgruppe Methoden und Evaluation" of the German Psychological Society. University of Münster, Germany, 2005.

    Generalized linear latent and mixed models. Course at SAMSI (Statistical and Applied Mathematical Sciences Institute) theme year on Latent Variable Models in the Social Sciences. Research Triangle Park, NC, USA, 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. Montreal, Canada, 2005

    Generalized linear latent and mixed models. Course at the 2005 ICSA Applied Statistics Symposium, International Chinese Statistical Association, Washington, USA, 2005

    Multilevel Modeling using Stata program gllamm. Course at the 2005 Summer Update Program in Public Health and Epidemiology, Instituto Nacional de Salud Pública, Cuernavaca, Mexico, 2005

    Generalized linear latent and mixed models. Course at the North American Stata Users Meeting 2004, Boston, USA, 2004

    Generalized linear latent and mixed models. Course at the Joint Statistical Meetings 2004 (sponsored by the Biometrics Section of the American Statistical Association), Toronto, Canada, 2004

    Generalized linear latent and mixed modeling. Course at the International Workshop on Statistical Modelling, Florence, Italy, 2004

    Multilevel and latent variable modeling of discrete data. Course at the 2004 Annual Meeting of the Psychometric Society, Pacific Grove, USA, 2004

    Analysis of repeated measurements and multilevel data. Course at the 2003 Conference of the Norwegian Epidemiological Association, Oslo, Norway, 2003

    Multilevel and latent variable modeling using gllamm. Preconference Course, 2003 International Biometric Society Meeting, Uppsala, Sweden, 2003

     

    Recent Keynote Lectures

    Italian Statistical Conference, Brescia, 2013.

    2nd Brazilian Conference on Item Response Theory (2 keynote lectures), Salvador, 2011.

    25th Item Response Theory Workshop, Twente, 2009.

    Recent Advances in Multilevel Modelling, Royal Statistical Society, London, 2007.

    23rd Item Response Theory Workshop (3 keynote lectures), Twente, 2007.

    International Amsterdam Multilevel Conference, Amsterdam, 2007.

    21st Nordic Conference on Mathematical Statistics, Rebild 2006

     

    Books on Statistics

    Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling using Stata (Third Edition). Volume I: Continuous Responses. College Station, TX: Stata Press.

    Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling using Stata (Third Edition). Volume II: Categorical Responses, Counts, and Survival. College Station, TX: Stata Press.

    Skrondal, A. and Rabe-Hesketh, S. (2011). Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models [Chinese translation]. Chongqing: Chongqing University Press, 2011.

    Everitt, B.S. and Skrondal, A. (2010). The Cambridge Dictionary of Statistics (Fourth Edition). Cambridge: Cambridge University Press.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. I) -- Linear Multilevel Models: Model Formulation. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. II) -- Linear Multilevel Models: Inference, Diagnostics and Design. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. III) -- Multilevel Generalized Linear Models. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. IV) -- Complex Models and Issues. SAGE Benchmarks in Social Research Methods. London: Sage.

    Rabe-Hesketh, S. and Skrondal, A. (2008). Multilevel and Longitudinal Modeling using Stata (Second Edition). College Station, TX: Stata Press.

    Rabe-Hesketh, S. and Skrondal, A. (2005). Multilevel and Longitudinal Modeling using Stata. College Station, TX: Stata Press.

    Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized latent variable modeling: Multilevel, longitudinal and structural equation models. Boca Raton, FL: Chapman & Hall/CRC.

    Skrondal, A. (1996). Latent Trait, Multilevel and Repeated Measurement Modeling with Incomplete Data of Mixed Measurement Levels. Oslo: UiO.

     

    Statistical Publications since 2000

    Breinegaard, N., Rabe-Hesketh. S. and Skrondal, A. (2015). The transition model test for serial dependence in mixed-effects models for binary data. Statistical Methods in Medical Research, in press.

    Andersen, P.K. and Skrondal, A. (2015). A competing risk approach to "biologic" interaction. Lifetime Data Analysis, 21, 300-314. get

    Rabe-Hesketh. S. and Skrondal, A. (2015). Generalized linear latent and mixed models. In W.J. van der Linden (ed.) Handbook of Item Response Theory: Models, Statistical Tools, and Applications (Vol. I). Boca Raton: CRC Press, in press.

    Rabe-Hesketh. S. and Skrondal, A. (2015). gllamm. In W.J. van der Linden (ed.) Handbook of Item Response Theory: Models, Statistical Tools, and Applications (Vol. III). Boca Raton: CRC Press, in press.

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

    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. getFree content.

    Skrondal, A. (2014). Much ado about interactions. Epidemiology, 25, 723-726. getFree content.

    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. getFree content.

    Rabe-Hesketh. S. and Skrondal, A. (2013). Avoiding biased versions of Wooldridge's simple solution to the initial conditions problem. Economics Letters, 120, 346-349. getFree content.

    Skrondal, A. and Kuha, J. (2012). Improved regression calibration. Psychometrika, 77, 649-669. getFree content.

    Skrondal, A. and Rabe-Hesketh. S. (2012). Generalized linear latent and mixed models. In Veierod, M., Lydersen, S., and Laake, P. (ed.) Statistical Methods in Clinical and Epidemiological Research. Oslo: Gyldendal Akademisk, pp. 289-329.

    Rabe-Hesketh. S., Skrondal, A. and Zheng, X. (2012). Multilevel structural equation modeling. In Hoyle, R. (ed.) Handbook of Structural Equation Modeling. New York: Guilford, pp. 512-531.

    Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling using Stata (Third Edition). Volume I: Continuous Responses. College Station, TX: Stata Press.

    Rabe-Hesketh, S. and Skrondal, A. (2012). Multilevel and Longitudinal Modeling using Stata (Third Edition). Volume II: Categorical Responses, Counts, and Survival. College Station, TX: Stata Press.

    Everitt, B.S. and Skrondal, A. (2010). The Cambridge Dictionary of Statistics (Fourth Edition). Cambridge: Cambridge University Press.

    Andersen, P.K. and Skrondal, A. (2010). Biological interaction from a statistical point of view. Research Report 10/1, Department of Biostatistics, University of Copenhagen.

    Rabe-Hesketh, S. and Skrondal, A. (2010). Probit model. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics (Second Edition). New York: Wiley.

    Skrondal, A. and Rabe-Hesketh, S. (2010). Clustered binary data. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics (Second Edition). New York: Wiley.

    Skrondal, A. and Rabe-Hesketh, S. (2010). Random effects models for discrete longitudinal data. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics (Second Edition). New York: Wiley.

    Skrondal, A. and Rabe-Hesketh, S. (2010). Generalized Estimating Equations. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics (Second Edition). New York: Wiley.

    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.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. II) -- Linear Multilevel Models: Inference, Diagnostics and Design. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. III) -- Multilevel Generalized Linear Models. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (Eds.) (2010). Multilevel Modeling (Vol. IV) -- Complex Models and Issues. SAGE Benchmarks in Social Research Methods. London: Sage.

    Skrondal, A. and Rabe-Hesketh, S. (2009). Prediction in multilevel generalized linear models. Journal of the Royal Statistical Society, Series A 172, 659-687. LocalFree content

    Rabe-Hesketh, S. and Skrondal, A. (2009). Generalized linear mixed effects models. Pages 79--106 in G. Fitzmaurice, M. Davidian, G. Verbeke and G. Molenberghs (Eds.). Longitudinal Data Analysis. Boca Raton, FL: Chapman & Hall/CRC.

    Rabe-Hesketh, S. and Skrondal, A. (2008). Multilevel and Longitudinal Modeling using Stata (Second Edition). College Station, TX: Stata Press.

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

    Skrondal, A. and Rabe-Hesketh, S. (2008). Latent variable modelling (Editorial for Special Issue). Statistical Methods in Medical Research, 17, 2-3.

    Bollen, K., Rabe-Hesketh, S. and Skrondal, A. (2008). Structural equation models. Pages 432--455 in Box-Steffensmeier, J. M., Brady, H. and Collier, D (Eds.) Oxford Handbook on Political Methodology. Oxford: Oxford University Press.

    Skrondal, A. and Rabe-Hesketh, S. (2008). Multlevel and related models for longitudinal data. Pages 275--299 in J. de Leeuw and E. Meijer (eds.) Handbook of Multilevel Analysis. New York: Springer.

    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. LocalFree content
    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). Latent variable modelling: A survey. Scandinavian Journal of Statistics 34, 712-745. LocalFree content

    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. LocalFree content

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

    Kuha, J. and Skrondal, A. (2007). Discussion of Handcock, Raftery and Tantrum. Journal of the Royal Statistical Society, Series A, 170, 341-342.

    Samuelsen, S.O., Aanestad, H. and Skrondal, A. (2007). Stratified case-cohort analysis of general cohort sampling designs. Scandinavian Journal of Statistics, 34 103-119.

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

    Zheng, X., Rabe-Hesketh, S. and Skrondal, A. (2006). Multilevel structural equation modeling of ordinal responses. Proceedings of the American Statistical Association, 1972-1979. Alexandria, VA: American Statistical Association.

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

    Aamodt, G., Samuelsen, S.O. and Skrondal, A. (2006). A simulation study of three methods for detecting disease clusters. International Journal of Health Geographics, 5 15.

    Dominicus, A., Skrondal, A., Gjessing, H.K., Pedersen, N. and Palmgren, J. (2006). Likelihood ratio tests in behavioral genetics: Problems and solutions. Behavior Genetics, 36, 331-340.

    Samuelsen, S.O., Wisloff, T.F. and Skrondal, A. (2005). A simple correction for ties when censoring times depend on covariates. Statistics in Medicine, 24, 3111-3121.

    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. LocalFree content

    Rabe-Hesketh, S. and Skrondal, A. (2005). Multilevel and Longitudinal Modeling using Stata. College Station, TX: Stata Press.

    Skrondal, A. and Rabe-Hesketh, S. (2005). Structural equation modeling: Categorical variables. In Everitt, B. and Howell, D. (ed.) Encyclopedia of Statistics in Behavioral Science. London: Wiley.

    Skrondal, A. and Rabe-Hesketh, S. (2005). State dependence. In Everitt, B. and Howell, D. (ed.) Encyclopedia of Statistics in Behavioral Science. London: Wiley.

    Rabe-Hesketh, S. and Skrondal, A. (2005). Probit model. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics. London: Arnold.

    Skrondal, A. and Rabe-Hesketh, S. (2005). Clustered binary data. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics. London: Arnold.

    Skrondal, A. and Rabe-Hesketh, S. (2005). Random effects models for discrete longitudinal data. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics. London: Arnold.

    Skrondal, A. and Rabe-Hesketh, S. (2005). Generalized Estimating Equations. In Everitt, B. and Palmer, C. (ed.) Encyclopedic Companion to Medical Statistics. London: Arnold.

    Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2004). GLLAMM Manual (Second Edition). U.C. Berkeley Division of Biostatistics Working Paper Series -- Working Paper 160. Berkeley: University of California. http://www.bepress.com/ucbbiostat/paper160

    Skrondal, A. and Rabe-Hesketh, S. (2004). Topics in modelling clustered data (Book review). Statistics in Medicine, 23, 3552-3553.

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

    Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized linear latent and mixed models with composite links and exploded likelihoods. Pages 27-39 in A.Biggeri, E.Dreassi, C.Lagazio and M.Marchi (Eds.) Statistical Modelling. Firenze: Firenze University Press.

    Skrondal, A. (2004). The Cambridge Dictionary of Statistics (Book review). Statistical Methods in Medical Research, 13, 239.

    Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized latent variable modeling: Multilevel, longitudinal and structural equation models. Boca Raton, FL: Chapman & Hall/CRC.

    Samuelsen, S.O., Wisl°ff, T.F. and Skrondal, A. (2004). A simple correction for ties when censoring times depend on covariates. Statistical Research Report No.3, Department of Mathematics, University of Oslo. ISSN 0806-3842.

    Skrondal, A. and Rabe-Hesketh, S. (2003). Multilevel logistic regression for polytomous data and rankings. Psychometrika 68, 267-287. LocalFree content
    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. Local Free content

    Skrondal, A. (2003). Interaction as departure from additivity in case-control studies: A cautionary note. American Journal of Epidemiology 158, 251-258.

    Skrondal, A. and Rabe-Hesketh, S. (2003). Generalized linear mixed models for nominal data. Proceedings of the American Statistical Association. Alexandria, VA: American Statistical Association, pp. 3931-3936.

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

    Skrondal, A. (2003). Rejection policy of books for review in the American Journal of Epidemiology (Letter to the editor). American Journal of Epidemiology, 157: 1052-1053.

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

    Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2002). Reliable estimation of generalised linear mixed models using adaptive quadrature Free content. The Stata Journal 2, 1-21.

    Rabe-Hesketh, S. and Skrondal, A. (2002). Estimating chopit models in gllamm. Technical Report, Department of Biostatistics and Computing, Institute of Psychiatry, King's College, London.

    Skrondal, A. (2001). Multilevel modelling in health statistics (Book review). Statistics in Medicine 21, 1964-1966.

    Skrondal, A. and Laake, P. (2001). Regression among factor scores. Psychometrika 66, 563-575.

    Rabe-Hesketh, S. and Skrondal, A. (2001). Parameterization of multivariate random effects models for categorical data. Biometrics57 (4), 1256-1264. LocalFree content

    Rabe-Hesketh, S., Pickles, A. and Skrondal, A. (2001). GLLAMM: A class of models and a Stata program. Multilevel Modelling Newsletter. 13 (1), 17-23.

    Rabe-Hesketh, S., Pickles, A. and Skrondal, A. (2001). GLLAMM Manual. Technical Report 2001/, Department of Biostatistics and Computing, Institute of Psychiatry, King's College, London. postscript file, PDF file

    Skrondal, A. (2000). Design and analysis of Monte Carlo experiments: Attacking the conventional wisdom. Multivariate Behavioral Research 35, 137-167.

     

    Research Monographs

    Vassend, O. and Skrondal, A. (2003). Interpretation of Symptom Checklist 90 Revised (SCL-90-R). A psychometric study based on a Norwegian national sample. Oslo: Royal Norwegian Air Force Institute of Aviation Medicine.

    Vassend, O. and Skrondal, A. (1996). A study of the NEO personality inventory and the five factor model. Factor models and descriptive statistics based on a Norwegian national sample. Oslo: The Norwegian Psychological Association.