Mark de Rooij
Professor Artificial Intelligence and Data Theory
- Name
- Prof.dr. M.J. de Rooij
- Telephone
- +31 71 527 4102
- rooijm@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-7308-6210
My research focuses on longitudinal categorical data using the combination of generalised linear model theory and multidimensional scaling.
Standard (multivariate) generalised linear models are prohibitive due to the large numer of parameters to be estimated and interpreted for such data. Multidimensional scaling techniques reduce this number. Additionally, they provide neat graphical displays for interpretation.
Personal Homepage: www.markderooij.info
Professor Artificial Intelligence and Data Theory
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Pratiwi B.C., Dusseldorp E.M.L. & Rooij M.J. de (2024), An out‑of‑sample perspective on the assessment of incremental predictive validity, Behaviormetrika : .
- Loon W.S. van, Fokkema M., Rooij M.J. de & Szabo B.T. (2024), View selection in multi-view stacking choosing the meta-learner: choosing the meta-learner, Advances in Data Analysis and Classification (2024): .
- Rooij M.J. de & Busing F.M.T.A. (2024), Multinomial restricted uinfolding , Journal of Classification 41: 190-213.
- Loon W.S. van, Fokkema M., Szabo B. & Rooij M.J. de (2024), View selection in multi-view stacking: choosing the meta-learner, Advances in Data Analysis and Classification : .
- Pratiwi Bunga C., Dusseldorp E., Karch J.D. & de Rooij M. (2023), Predictive performance of psychological tests: is it better to use items than subscales?, Computational Statistics & Data Analysis 185: 107767.
- De Rooij M.J., Karch J.D., Fokkema M., Bakk Z., Pratiwi B.C. & Kelderman H. (2022), SEM-based out-of-sample predictions, Structural Equation Modeling: A Multidisciplinary Journal : 1-17.
- Loon W.S. van, Vos F. de, Fokkema M., Szabo B.T., Koini M., Schmidt R. & Rooij M.J. de (2022), Analyzing hierarchical multi-view MRI Data With StaPLR An Application to Alzheimer's disease classification: an application to Alzheimer's disease classification, Frontiers in Neuroscience 16: 1-36 (830630).
- Baldassarre A., Dusseldorp E.M.L., D’Ambrosio A., Rooij M.J. & Conversano C. (2022), The Bradley–Terry regression trunk approach for modeling preference data with small trees, Psychometrika 2022: .
- Yuan B., Heiser W. & Rooij M. de (2021), A comparison of two dissimilarity functions for mixed-type predictor variables in the δ-machine, Advances in Data Analysis and Classification : .
- Blankenstein N.E., Rooij M.J. de, Ginkel J.R. van, Wilderjans T.F., Ruigh E.L. de, Oldenhof H.C., Zijlmans J., Jambroes T., Platje E., Vries-Bouw M. de, Branje S., Meeus W.H.J., Vermeiren R.R.J.M., Popma A. & Jansen L.M.C. (2021), Neurobiological correlates of antisociality across adolescence and young adulthood: a multi-sample, multi-method study, Psychological Medicine : 1-16.
- Deen M.L. & De Rooij M.J. (2020), ClusterBootstrap: An R package for the analysis of hierarchical data using generalized linear models with the cluster bootstrap, Behavior Research Methods 52: 572–590.
- Loon W.S. van, Fokkema M. & Szabo B.T. Rooij M.J. de (2020), Stacked penalized logistic regression for selecting views in multi-view learning, Information Fusion 61: 113-123.
- Fernando Vera J. & De Rooij M. (2020), A latent block distance-association model for profile by profile cross-classified categorical data, Multivariate Behavioral Research 55(3): 329-343.
- Koopman L., Zijlstra B.J.H., Rooij M. de & Ark L.A. van der (2020), Bias of two-level scalability coefficients and their standard errors, Applied Psychological Measurement 44(3): 197-214.
- Rooij M. de Weeda W. (2020), Cross-validation: a method every psychologist should know, Advances in Methods and Practices in Psychological Science 3(2): 248-263.
- de Vos Frank Schouten Tijn M. Koini Marisa Bouts Mark J.R.J. Feis Rogier A. Lechner Anita Schmidt Reinhold van Buchem Mark A. Verhey Frans R.J. Olde Rikkert Marcel G.M. Scheltens Philip de Rooij Mark van der Grond Jeroen Rombouts Serge A.R.B. (2020), Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients, NeuroImage: Clinical 27: 102303 (102303).
- Rooij M.J. de (2020), Asymmetric scaling models for square contingency tables: points, circles, arrows and odds ratios. In: Imaizumi T., Nakayama A. & Yokoyama S. (Eds.), Advanced studies in behaviormetrics and data science: essays in honor of Akinori Okada. Behaviormetrics: Quantitative Approaches to Human Behavior no. 5: Springer Singapore. 43-61.
- Schouten T.M., De Vos F., Van Rooden S., Bouts M.J.R.J., Van Opstal A.M., Feis R.A., Terwindt G.M., Wermer M.J.H., Van Buchem M.A., Greenberg S.M., De Rooij M., Rombouts S.A.R.B. & Van der Grond J. (2019), Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers, Journal of the American Heart Association 8(3): e011288.
- Yuan B., Heiser W. & Rooij M. de (2019), The δ-Machine: Classification Based on Distances Towards Prototypes, Journal of Classification 36(3): 442-470.
- Bouts Mark J. R. J. Grond Jeroen Vernooij Meike W. Koini Marisa Schouten Tijn M. Vos Frank Feis Rogier A. Cremers Lotte G. M. Lechner Anita Schmidt Reinhold Rooij Mark Niessen Wiro J. Ikram M. Arfan Rombouts Serge A. R. B. (2019), Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification, Human Brain Mapping 40: 2711-2722.
- Janssen J.H.M., Laar S. van, Rooij M.J. de, Kuha J. & Bakk Z. (2019), The Detection and Modeling of Direct Effects in Latent Class Analysis, Structural Equation Modeling: A Multidisciplinary Journal 26(2): 280-290.
- De Vos F., Koini M., Schouten T.M., Seiler S., Van der Grond J., Lechner A., Schmidt R., De Rooij M.J. & Rombouts S.A.R.B. (2018), A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease, NeuroImage 167: 62-72.
- Bouts M.J.R.J., Möller C., Hafkemeijer A., Swieten J.C. van, Dopper E., Flier W.M. van der, Vrenken H., Wink A.M., Pijnenburg Y.A.L., Scheltens P., Barkhof F., Schouten T.M., Vos F. de, Feis R.A., Grond J. van der, Rombouts S.A.R.B. & Rooij M. de (2018), Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging, Journal of Alzheimer's Disease 62(4): 1827-1839.
- Van den Bedem N.P., Dockrell J.E., Van Alphen P.M., De Rooij M.J., Samson A.C., Harjunen E.L. & Rieffe C.J. (2018), Depressive symptoms and emotion regulation strategies in children with and without developmental language disorder: a longitudinal study, International Journal of Language & Communication Disorders 53(6): 1110-1123.
- Rooij M. (2018), Transitional modeling of experimental longitudinal data with missing values, Advances in Data Analysis and Classification 12(1): 107-130.
- Worku H.M. & Rooij M. (2018), A Multivariate Logistic Distance Model for the Analysis of Multiple Binary Responses, Journal of Classification 35(1): 124-146.
- Bouts Mark J.R.J. Möller Christiane Hafkemeijer Anne Swieten John C. Dopper Elise G.P. Flier Wiesje M. Vrenken Hugo Wink Alle Meije Pijnenburg Yolande A.L. Scheltens Philip Barkhof Frederik Grond Jeroen Rooij Mark Rombouts Serge A.R.B. (2017), [IC‐P‐130]: MRI‐BASED CLASSIFICATION ACCURACY OF DEMENTIA TYPE IS DETERMINED BY MRI MODALITY, Alzheimer's & Dementia 13: .
- Schouten T.M., Koini M., De Vos F., Seiler S., De Rooij M.J., Lechner A., Schmidt R., Van den Heuvel M., Van der Grond J. & Rombouts S.A.R.B. (2017), Individual Classification of Alzheimer's Disease with Diffusion Magnetic Resonance Imaging, NeuroImage 152: 476-481.
- Espin C.A., Miura Wayman M., Deno S.L., McMaster K.L. & De Rooij M. (2017), Data-based decision-making: Developing a method for capturing teachers’ understanding of CBM graphs, Learning Disabilities Research and Practice 32(1): 8-21.
- Worku H.M. & De Rooij M. (2017), Properties of Ideal Point Classification Models for Bivariate Binary Data, Psychometrika 82(2): 308-328.
- Spinhoven P., Drost J., De Rooij M., Van Hemert A.M. & Penninx B.W.J.H. (2016), Is experiential avoidance a mediating, moderating, independent, overlapping of proxy risk factor in the onset, relapse and maintenance of depressive disorders?, Cognitive Therapy and Research 40(2): 150-163.
- Bos E. van den, Rooij M. de, Sumter S.R. & Westenberg P.M. (2016), Continued development of recursive thinking in adolescence: Longitudinal analyses with a revised recursive thinking test, Cognitive Development 37: 28-41.
- Aardoom J.J., Dingemans A.E., Spinhoven P., Van Ginkel J.R., De Rooij M.J. & Van Furth E.F. (2016), Web-based fully automated self-help with different levels of therapist support for individuals with eating disorder symptoms: A randomized controlled trial, Journal of Medical Internet Research 18(6): 13-27.
- Vos F. de, Schouten T.M., Hafkemeijer A., Dopper E.G., Swieten J.C. van, Rooij M. de, Grond J. van der & Rombouts S.A. (2016), Combining multiple anatomical MRI measures improves Alzheimer's disease classification, Human Brain Mapping 37(5): 1920-1929.
- Schouten T.M., Koini M., De Vos F., Seiler S., Van der Grond J., Lechner A., Hafkemeijer A., Möller C., Schmidt R., De Rooij M. & Rombouts S.A.R.B. (2016), Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease, NeuroImage: Clinical 11: 46-51.
- Spinhoven P., Elzinga B.M., Van Hemert A.M. & De Rooij M.J. (2016), Childhood maltreatment, maladaptive personality types and level and course of psychological stress: A six-year longitudinal study, Journal of Affective Disorders 191: 100-108.
- Zethof Dennis Nagelhout Gera E. de Rooij Mark Driezen Pete Fong Geoffrey T. van den Putte Bas Hummel Karin de Vries Hein Thompson Mary E. Willemsen Marc C. (2016), Attrition analysed in five waves of a longitudinal yearly survey of smokers: findings from the ITC Netherlands survey, European Journal of Public Health 26: 693-699.
- Khalili-Mahani N., Niesters M., Van Osch M.J., Oitzl M., Veer I., De Rooij M., Van Gerveng J., Van Buchem M.A., Beckmann C.F., Rombouts S.A.R.B. & Dahan A. (2015), Ketamine interactions with biomarkers of stress: A randomized placebo-controlled repeated measures resting-state fMRI and PCASL pilot study in healthy men, NEUROIMAGE 108: 396-409.
- De Rooij M. & Van der Heijden P.G.M. (2015), Correspondence analysis of longitudinal data, Wiley StatsRef: Statistics Reference Online : 1-10.
- Eeren H.V., Spreeuwenberg M.D., Bartak A., De Rooij M. & Busschbach J.J.V. (2015), Estimating subgroup effects using the propensity score method: A practical application in outcomes research, Medical Care 53(4): 366-373.
- Meuwese R., Crone E.A., De Rooij M. & Güroğlu B. (2015), Development of equity preferences in boys and girls across adolescence, Child Development 86(1): 145-158.
- Vera F.J., De Rooij M.J. & Heiser W.J. (2014), A latent class distance association model for cross-classified data with a categorical response variable, British Journal of Mathematical and Statistical Psychology 67(3): 514-540.
- Spinhoven P., Penelo E., De Rooij M., Penninx B.W. & Ormel J. (2014), Reciprocal effects of stable and temporary components of neuroticism and affective disorders: Results of a longitudinal cohort study, Psychological Medicine 44(2): 337-348.
- Van den Bos E., De Rooij M., Miers A.C., Bokhorst C.L. & Westenberg P.M. (2014), Adolescents' increasing stress response to social evaluation: Pubertal effects on cortisol and alpha-amylase during public speaking, Eğitim Bilimleri Araştırmaları Dergisi 85(1): 220-236.
- Rieffe C., De Bruine M., De Rooij M. & Stockmann L. (2014), Approach and avoidant emotion regulation prevent depressive symptoms in children with an Autism Spectrum Disorder, International Journal of Developmental Neuroscience 39: 37-43.
- Khalili-Mahani N., Osch M.J., De Rooij M.J., Beckmann C.F., Van Buchem M.A., Dahan A., Van Gerven J.M. & Rombouts S.A.R.B. (2014), Spatial heterogeneity of the relation between resting-state connectivity and blood flow: An important consideration for pharmacological studies, Human Brain Mapping 35(3): 929-942.
- Spinhoven P., Penninx B.W., Van Hemert A.M., De Rooij M. & Elzinga B.M. (2014), Comorbidity of PTSD in anxiety and depressive Prevalence and shared risk factors, Child Abuse & Neglect 38(8): 1320-1330.
- Spinhoven P., Drost J., De Rooij M., Van Hemert A.M. & Penninx B.W. (2014), A longitudinal study of rxperiential avoidance in emotional disorders, Behavior Therapy 45(6): 840-850.
- Spinhoven P., Elzinga B.M., Van Hemert A.M., De Rooij M. & Penninx B.W. (2014), A longitudinal study of facets of extraversion in depression and social anxiety, Personality and Individual Differences 71: 39-44.
- Miers A.C., Blöte A.W., De Rooij M.J., Bokhorst C.L. & Westenberg P.M. (2013), Trajectories of social anxiety during adolescence and relations with cognition, social competence, and temperament, Journal of Abnormal Child Psychology 41(1): 97-110.
- De Rooij M. & Eilers P.H.C. (2013), TrioScale: A new diagram for compositional data. Hron K., Filzmozer P. & Templ M. (Eds.), Proceedings of the fifth International Workshop on Compositional Data.. .
- Yu H.-T. & De Rooij M. (2013), Model selection for the Trend Vector Model, Journal of Classification 30(3): 338-369.
- Kouwenberg M., Rieffe C., Theunissen S.C.P.M. & De Rooij M.J. (2012), Peer victimization experienced by children and adolescents who are deaf or hard of hearing, PLoS ONE 7(12): e52174.
- Spinhoven P., Rooij M.J. de, Heiser W.J., Smit J.H. & Penninx B.W.J.H. (2012), Personality and changes in comorbidity among anxiety and depressive disorders, Journal of Abnormal Psychology 121(4): 874-884.
- Polak M.G., Rooij M.J. de & Heiser W.J. (2012), A model-free diagnostic for single-peakedness of item responses using ordered conditional means, Multivariate Behavioral Research 47(5): 743-770.
- Rieffe C. & De Rooij M.J. (2012), The longitudinal relationship between emotion awareness and internalising symptoms during late childhood, European Child and Adolescent Psychiatry 21(6): 349-356.
- Bessems M.H.H., Assema P., Martens M.K., Paulussen T.G.W.M., Raaijmakers L.G.M., De Rooij M.J. & De Vries N.K. (2012), Healthier food choices as a result of the revised healthy diet programme Krachtvoer for students of prevocational schools, International Journal of Behavioral Medicine 9: e60.
- De Rooij M.J. (2012), An application of the mixed effects trend vector models to asymmettric square contingency tables with auxiliary variables, Behaviormetrika 39(1): 75-90.
- Rooij M.J. de & Schouteden M. (2012), The mixed effects trend vector model, Multivariate Behavioral Research 47(4): 635-664.
- Rooij M.J. de & Worku H.M. (2012), A warning concerning the estimation of multinominal logistic models with correlated responses in SAS, Computer Methods and Programs in Biomedicine 107(2): 341-346.
- Koolschijn P.C., Schel M.A., De Rooij M.J., Rombouts S.A.R.B. & Crone E.A. (2011), A three-year longitudinal functional magnetic resonance imaging study of performance monitoring and test-retest reliability from childhood to early adulthood, Journal of Neuroscience 31(11): 4204-4212.
- De Rooij M.J. (2011), Transitional ideal point models for longitudinal multinomial outcomes, Statistical Modelling 11(2): 115-135.
- Hagenaars M.A., Minnen A. van & Rooij M.J. de (2010), Cognitions in prolonged exposure therapy for PTSD, International Journal of Clinical and Health Psychology 10: 421-434.
- Rooij M.J. de & Yu H.-T. (2010), The trend vector model: Identification and estimation in SAS. In: Locarek-Junge H. & Weihs C. (Eds.), Classification as a tool for research. Heidelberg: Springer. 245-252.
- Polak M.G., Heiser W.J. & Rooij M.J. de (2009), Two types of single-peaked data: correspondence analysis as an alternative to principal component analysis, Computational Statistics & Data Analysis 53: 3117-3128.
- Rooij M.J. de (2009), Trend vector models for the analysis of change in continuous time for multiple groups, Computational Statistics & Data Analysis 53: 3209-3216.
- Busing F.M.T.A. & Rooij M.J. de (2009), Unfolding incomplete data: guidelines for unfolding row-conditional rank order data with random missings, Journal of Classification 26: 329-360.
- Spinhoven P., Rooij M.J. de, Heiser W.J., Smit J. & Penninx B.W. (2009), The role of personality in comorbidity among anxiety and depressive disorders in primary care and specialty care: A cross-sectional analysis, General Hospital Psychiatry 31: 470-477.
- Rooij M.J. de (2009), Ideal point discriminant analysis with a special emphasis on visualisation, Psychometrika 74: 317-330.
- Rooij M.J. de (2008), De parlementaire verkiezingen 2002-2003; verandering nader bekeken door middel van een ideaalpunt classificatie model, STAtOR 9: 4-7.
- Rooij M.J. de (2008), The analysis of change, Newton's law of gravity, and association models, Journal of the Royal Statistical Society Series A : Statistics in Society 171: 137-157.
- Rooij M.J. de (2007), The distance perspective of generalized biadditive models: Scalings and transformations, Journal of Computational and Graphical Statistics 16: 210-227.
- Kwaadsteniet E.W. de, Dijk E. van, Wit A.P., Cremer D. de & Rooij M.J. de (2007), Justifying decisions in social dilemmas: Justification pressures and tacit coordination under environmental uncertainty, Personality and Social Psychology Bulletin 33(12): 1648-1660.
- Rooij M.J. de (2007), The use of covariates in distance association models for the analysis of change. In: Montfort K. van, Oud H. & Sattora A. (Eds.), Longitudinal models in the behavioral and related sciences.. Mahwah, New Jersey: Lawrence Erlbaum Associated. 367-380.
- Rooij M.J. de & Anderson C.J. (2007), Visualising, summarizing and comparing odds ratio structures, Sociological Methodology 3: 139-148.
- Rooij M.J. de (2006), The use of covariates in distance-association models for the analysis of change. In: Montfort K. van, Oud J. & Satorra A. (Eds.), Longitudinal models in the behavioral and related sciences. Mahwah, New Jersey: Lawrence Erlbaum Associates, Inc.. 367-380.
- Rooij M.J. de & Heiser W.J. (2005), Graphical representations and odds ratios in a distance association model for the analysis of cross classified data, Psychometrika 70: 99-122.
- Van Putten C.M., De Rooij M.J. & Smits A. (15 June 2004), Stability of category quantifications in multiple correspondence analysis under two ways to remove outlier dominance: A case study. IMPS 2004, The 69th Annual Meeting of the Psychometric Society. Pacific Grove, Monterey, CA (USA). [lecture].
- Verschoor D., Van Putten C.M. & De Rooij M.J. (2003), Een vergelijking tussen HOMALS en logistische regressie-analyse: Welke strategieën leiden tot een optimale prestatie bij deelsommen?. In: Garnefski N. (Ed.), Coping with psychology. Honours Research Students Project. Leiden: Dep. of Psychology. 65-86.
- Rooij M.J. de & Heiser W.J. (2003), A distance representation of the quasi-symmetry model and related distance models. In: Yanai H., Okada O., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychometrics. Tokyo: Springer Verlag. 487-494.
- Frank L.E., Rooij M.J. de & Heiser W.J. (2003), Monte Carlo simulation in three-way unfolding: Assessing the combined effects of sparseness and variation of the cell frequencies. In: Yanai H., Okada A., Shigemasu K., Kano Y. & Meulman J.J. (Eds.), New Developments in Psychometrics. Tokyo: Springer Verlag. 511-518.
- Rooij M.J. de & Gower J.C. (2003), The geometry of triadic distances, Journal of Classification 20(2): 181-220.
- Rooij M.J. de & Kroonenberg P.M. (2003), Multivariate multinomial logit models for dyadic sequential interaction data, Multivariate Behavioral Research 38: 463-504.
- Gower J.C. & Rooij M.J. de (2003), A comparison of the multidimensional scaling of triadic and dyadic distances, Journal of Classification 20: 115-136.
- Rooij M.J. de (2002), Three- way distance models and three-way association, Journal of Classification 19: 161-178.
- Frank L.E., Rooij M.J. de & Heiser W.J. (2002), Monte Carlo simulation in three-way unfolding: assesing the combined effect of sparseness and variation of the cell frequencies. In: Yanai H., Okada H., Shigemasu A., Kano K., Meulman Y. & Meulman J.J. (Eds.), New develpments in Psychometrics. Tokyo: Springer. 511-518.
- Rooij M.J. de & Heiser W.J. (2002), A distance representation of the quasi-symmetry model and related distance models. In: Okada H., Shigemasu A., Kano K., Meulman J.J., Yanai I. & Meulman Y. (Eds.), New developments in Psychometrics. Tokyo: Springer Verlag. 487-494.
- Rooij M.J. de (2002), Studying triadic distance models under a likelihood function. In: Nishisato S., Baba Y., Bozdogan H. & Kanefuji K. (Eds.), Measurements and Multivariate Analysis. Tokyo: Springer Verlag. 69-76.
- Rooij M.J. de (2002), Distance models for three-way tables and three-way association, Journal of Classification 19: 161-178.
- Rooij M.J. de (2001), Distance-Association Models for the Analysis of Repeated Transition Frequency Tables, Statistica Neerlandica 55: 156-180.
- Rooij M.J. de (5 April 2001), Distance Models for the Analysis of Transition Frequency Data (Dissertatie, Leiden University). Leiden. Supervisor(s): Heiser W.J.
- Kolck M. van, Rooij M.J. de & Heiser W.J. (2000), Multidimensional scaling of loglinear parameters: The best transformation. Garnefski N. & Prins F. (Eds.), Coping with Psychology, Vol. I. . Leiden, The Netherlands: Department of Psychology. 117-136.
- Rooij M.J. de (2000), Asymmetric Triadic Distance Models: What they do and how they achieve it. Nishisato S. & Baba Y. (Eds.), Proceedings of the International Conference on Measurement and Multivariate Analysis. . Alberta, Canada: ICMMA. 120-123.
- Rooij M.J. de & Heiser W.J. (2000), Graphical Representations and Odds Ratios in a Distance Association Model for the Analysis of Cross Classified Data. Leiden: Department of Psychology.
- Rooij M.J. de & Heiser W.J. (2000), Three-way distance models and three-way association: a theoretical note. Leiden: Department of Psychology.
- Rooij M.J. de (2000), Probabilistic Unfolding models for the analysis of change. Cologne, Germany: Vision Design. [other].
- Rooij M.J. de & Heiser W.J. (2000), Triadic distance models for the analysis of asymmetric three-way proximity data, British Journal of Mathematical and Statistical Psychology 53: 99-119.