PUBLICATIONS

  • Van Loon, W., Fokkema, M. and De Rooij, M. Imputation of missing values in multi-view data. Working paper
  • Van Loon, W., Fokkema, M., Szabo, B., and de Rooij, M. View selection in multi-view stacking: Choosing the meta-learner. Working paper
  • Pratiwi, B.C, Dusseldorp, E., and de Rooij, M. An out-of-sample perspective on the assessment of incremental predictive validity. Working paper.
  • De Rooij, M. and Busing, F.M.T.A. Multinomial Restricted Unfolding. Working Paper
  • De Rooij, M. Loglinear modeling with mixed numerical and categorical predictor variables through an Extended Stereotype Model. Working Paper
  • De Rooij, M. A New Algorithm and a Discussion about Visualization for Logistic Reduced Rank Regression. Working Paper.
  • De Rooij, M., Breemer, L. Woestenburg, D., and Busing, F.M.T.A. Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function. Working Paper
  • Kloos, K., Karch, J.D., Meertens, Q.A., and de Rooij, M. Continuous Sweep: an improved, parametric quantifier. Working Paper.
  • De Rooij, M., Woestenburg, D., and Busing, F.M.T.A. Supervised and Unsupervised Mapping of Binary Variables: A single-peaked perspective. Working Paper.
  • Pratiwi, B.C., Dusseldorp, E., Karch, J. and De Rooij, M. (2023). Predictive performance of psychological tests: Is it better to use items than subscales? Computational Statistics & Data Analysis. Article
  • De Rooij, M. Karch, J.D. Fokkema, M. Bakk, Z., Citra Pratiwi, B. & Kelderman, H. (2022). SEM-based out-of-sample predictions. Structural Equation Modelling: A Multidisciplinary Journal. Article
  • De Rooij, M. and Groenen, P.J.F. (2022). The MELODIC family for simultaneous binary logistic regression in a reduced space. In Okada, A., Shigemasu, K., Yoshino, R., and  Yokoyama, S. (Eds) Facets of Behaviormetrics: The 50th Anniversary of the Behaviormetric Society. Article
  • Van Loon, W., de Vos, F., Fokkema, M., Szabo, B., Koini, M., Schmidt, R., & de Rooij, M. (2022). Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer’s disease classification. Frontiers in neuroscience, 525. Article.
  • Baldassarre, A., Dusseldorp, E., D’Ambrosio, A., de Rooij, M., & Conversano, C. (2022). The Bradly-Terry Regression Trunk approach for modelling preference data with small trees.  Psychometrika, xx, xxx – xxx. Article.
  • Elsten, T. and De Rooij, M. (2021). SUBiNN: A stacked uni- and bivariate kNN sparse ensemble. Advances in Data Analysis and Classification, xx, xxx- xxx. Article.
  • Yuan, B., Heiser, W.J. and De Rooij, M. (2021).  A comparison of two dissimilarity functions for mixed type predictor variables in the δ-machine. Advances in Data Analysis and Classification, xx, xxx- xxx. Article
  • Blankenstein, N., De Rooij, M., Van Ginkel, J., Wilderjans, T., De Ruigh, E., Oldenhof, H., . . . Jansen, L. (2021). Neurobiological correlates of antisociality across adolescence and young adulthood: A multi-sample, multi-method study. Psychological Medicine, 1-16. Article
  • De Rooij, M. and Weeda, W. (2020). Cross Validation: A method every psychologist should know. Advances in Methods and Practices in Psychological Science, 3, 248–263. Article.
  • de Rooij, M. (2020). Asymmetric Scaling Models for Square Contingency Tables: Points, Circles, Arrows and Odds Ratios. In Imaizumi, T., Nakayama, A., and Yokoyama, S. (Eds) Advanced Studies in Behaviormetrics and Data Science (pp. 43-61). Springer, Singapore. Article
  • Koopman, L., Zijlstra, B. J., de Rooij, M., & van der Ark, L. A. (2020). Bias of Two-Level Scalability Coefficients and Their Standard Errors. Applied Psychological Measurement, 44(3), 197-214. Article.
  • de Vos, F., Schouten, T. M., Koini, M., Bouts, M. J., Feis, R. A., Lechner, A., … , De Rooij, M., .. Rombouts, S.A.R.B. (2020). Pre-trained MRI-based Alzheimer’s disease classification models to classify memory clinic patients. NeuroImage: Clinical, 102303. Article.
  • Van Loon, W., Fokkema, M. Szabo, B. and De Rooij, M.. (2020). Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning. Information Fusion, 61, 113-123. Article.
  • De Rooij, M., Citra Pratiwi, B., Fokkema, M., Bakk, Z. Dusseldorp, E., and Kelderman, H. (2019). The early roots of statistical learning in the psychometric literature: a review and two new results. Article
  • Vera, J.F. and De Rooij, M. (2019). A Latent Block Distance-Association Model for Profile by Profile Cross-Classified Categorical Data. Multivariate Behavioural Research, 55, 329-343. Article.
  • Yuan, B., Heiser, W.J. and De Rooij, M. (2019). The δ-machine: Classification Based on Distances towards Prototypes. Journal of Classification, 36, 442 – 470. Article.
  • Bouts, MJRJ, Van der Grond, J., Vernooij, MW, …, De Rooij, M., .., Rombouts, S.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. Article.
  • Schouten, T.M., De Vos, F., Van Rooden, S., …, De Rooij, M., …, Rombouts, S.A.R.B. (2019) Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers. Journal of the American Heart Association, 8, e011288. Article.
  • Deen, M. and De Rooij, M. (2019). ClusterBootstrap: An R package for the analysis of hierarchical data using generalized linear models with the cluster bootstrap. Multivariate Behavioural Methods, 52, 572-590. Article.
  • Janssen, J.H.M., van Laar, S., de Rooij, M., Kuha, J. & Bakk, Z. (2018) The Detection and Modeling of Direct Effects in Latent Class Analysis, Structural Equation Modeling: A Multidisciplinary Journal, 26, 280-290. Article.
  • Van den Bedem, N.P., Dockrell, J.E., van Alphen, P.M., de Rooij, M., Samson, A.C., … (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. Article.
  • Worku, H.M., and De Rooij, M. (2018). A Multivariate Logistic Distance Model for the Analysis of Multiple Binary Responses. Journal of Classification, 35, 124-146. Article.
  • De Rooij, M. (2018). Transitional modeling of experimental longitudinal data with missing values. Advances in Data Analysis and Classification, 12, 107 – 130. Article.
  • De Vos, F., Koini, M, Schouten, T.M., Seiler, S., Van der Grond, J. Lechner, A., Schmidt, R., De Rooij, M. and 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. Article.
  • Worku, H.M., and De Rooij, M. (2017). Properties of Ideal Point Classification Models for Bivariate Binary data. Psychometrika, 82, 308-328. Article.
  • Schouten, T.M., Koini, M., De Vos, F., Seiler, S., De Rooij, M., 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. Article.
  • Espin, C.A., Wayman, M.M., Deno, S.L. McMaster, K.L., De Rooij, M. (2017). Data-based decision making: Developing a method for capturing teacher’s understanding of CBM graphs. Learning disabilities Research & Practice, 32, 8 – 21. Article.
  • Schouten, T.M., Loitfelder, M., De Vos, F. Seiler, S. Van der Grond, J. Lechner, A., Hafkemeijer, A. Möller, C. Schmidt, R., De Rooij, M., and Rombouts, S. (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. Article.
  • Aardoom, J.J., Dingemans, A.E., Spinhoven, P., Van Ginkel, J.R., De Rooij, M., 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, e159. Article.
  • De Vos, F., Schouten, T., Hafkemeijer, A., Dopper, E., Van Swieten, J., De Rooij, M., Van der Grond, J., Rombouts, S. (2016). Combining multiple anatomical MRI measures improves Alzheimer’s disease classification. Human Brain Mapping, 37(5), 1920-1929. Article.
  • Zethof, D., Nagelhout, G., De Rooij, M., Driezen, P., Fong, G., Van den Putte, B., Hummel, K., De Vries, H., Thompson, M.E., & Willemsen, M. (2016). Attrition analysed in five waves of a longitudinal yearly survey of smokers: Findings from the ITC Netherlands survey. European Journal of Public Health Official Journal of the European Public Health Association, 26, 693-699. Article.
  • 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, or proxy risk factor in the onset, relapse and maintenance of depressive disorders, Cognitive Therapy and Research, 40, 150-163. Article.
  • E. van den Bos, M. de Rooij, S.R. Sumter, P.M. Westenberg (2016). Continued development of recursive thinking in adolescence: Longitudinal analyses with a revised recursive thinking test. Cognitive Development 37, 28-41. Article
  • P. Spinhoven, B.M. Elzinga, A.M. Van Hemert, M. de Rooij, B.W. Penninx (2016). Childhood maltreatment, maladaptive personality types and level and course of psychological distress: a six-year longitudinal study. Journal of affective disorders. 191, 100-108. Article
  • M. de Rooij (2016). Transitional modeling of experimental longitudinal data with missing values. Advances in Data Analysis and Classification, xx, 1-24. Article.
  • H.V. Eeren, M.D. Spreeuwenberg, A. Bartak, M. de Rooij, J.J.V. Busschbach (2015). Estimating Subgroup Effects Using the Propensity Score Method: A Practical Application in Outcomes Research. Medical Care, 53, 366-373. Article
  • N. Khalili-Mahani, N.K., Niesters, M., van Osch, M.J., Oitzl, M., Veer, I., de Rooij, M., van Gerven, J., van Buchem, M.A., Beckmann, C.F., and Rombouts, S.A.R.B. (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. Article
  • M. de Rooij, P.G.M. van der Heijden (2015). Correspondence Analysis of Longitudinal Data. Wiley StatsRef: Statistics Reference Online. Article
  • R. Meuwese, E.A. Crone, M. Rooij, B. Güroĝlu (2015). Development of equity preferences in boys and girls across adolescence. Child Development, 86, 145-158. Article
  • Spinhoven, P., Penninx, B.W., van Hemert, A.M., de Rooij, M., and Elzinga, B.M. (2014). Comorbidity of PTSD in anxiety and depressive disorders: prevalence and shared risk factors. Child Abuse & Neglect, 38, 1320-1330. Article
  • Vera, F.J., De Rooij, M., and 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, 514-540. Article
  • Spinhoven, P., Penelo, E., de Rooij, M., Penninx, B.W., and Ormel, J. (2014). Reciprocal effects of stable and temporary components of neuroticism and affective disorders: Results of a longitudinal cohort study. Psychological Medicine, 44, 337-348. Article
  • Van den Bos, E., de Rooij, M., Miers, A.C., Bokhorst, C.L. and Westenberg, P.M. (2014) Adolescents’ Increasing Stress Response to Social-Evaluation: Pubertal Effects on Cortisol and alpha-Amylaseduring Public Speaking. Child Development., 85, 220-236. Article
  • Khalili-Mahani, N., Van Osch, M.J., De Rooij, M, Beckmann, C.F., van Buchem, M.A., Dahan, A., van Gerven, J.M., and Rombouts S.A.R.B. (2013). Spatial heterogeneity of the relation between resting-state connectivity and blood flow: An important consideration for pharmacological studies. Human Brain Mapping, 35, 929-942. DOI: 10.1002/hbm.22224. Article
  • Rieffe, C., De Bruine, M., De Rooij, M., and 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. Article
  • Spinhoven, P., Drost, J., de Rooij, M., van Hemert, A.M., and Penninx, B.W. (2014). A longitudinal study of experiential avoidance in emotional disorders. Behavior Therapy, 45, 840-850. Article
  • Spinhoven, P., Elzinga, B.M., van Hemert, A.M., de Rooij, M., and Penninx, B.W. (2014). A longitudinal study of facets of extraversion in depression and social anxiety. Personality and Individual Differences, 71, 39-44. Article
  • Yu, H.-T. and De Rooij, M. (2013). Model selection for the trend vector model. Journal of Classification, 30, 338-369. Article
  • Wehrens, R. and De Rooij, M (2013). Discussion on the paper “How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification” by C. Hennig and T. F. Liao in Journal of the Royal Statistical Society, C, 62, 309-369
  • Miers, A.C., Blöte, A.W., De Rooij, M., Bokhorst, C.L., and Westenberg, P.M. (2013). Trajectories of Social Anxiety during Adolescence and Relations with Cognition, Social Competence and Temperament. Journal of Abnormal Child Psychology. Article
  • De Rooij, M. and Schouteden, M. (2012). The Mixed Effects Trend Vector Model. Multivariate Behavioral Research. Article (paper including SAS code)
  • De Rooij, M. (2012). An application of the mixed effects trend vector model to asymmetric change data with auxiliary variables. Behaviormetrika, 39, 75-90. Article
  • De Rooij, M. and Worku, H.M. (2012). A warning concerning the estimation of multinomial logistic models with correlated responses in SAS. Computer Methods and Programs in Biomedicine, 107, 341-346. Article
  • Polak, M.G., De Rooij, M., & 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. Article
  • Rieffe, C., De Rooij, M. (2012). The longitudinal relationship between emotion awareness and internalising symptoms during late childhood. European Child & Adolescent Psychiatry, 21, 349-346. Article
  • Philip Spinhoven, Mark de Rooij, Willem Heiser, Jan H. Smit, and Brenda W. J. H. Penninx (2012). Personality and Changes in Comorbidity Patterns Among Anxiety and Depressive Disorders. Journal of Abnormal Psychology. Article
  • Kathelijne MHH Bessems, Patricia van Assema, Marloes K Martens, Theo GWM Paulussen, Lieke GM Raaijmakers, Mark de Rooij and Nanne K de Vries (2012). Healthier food choices as a result of the revised healthy diet programme Krachtvoer for students of prevocational schools. International Journal of Behavioral Nutrition and Physical Activity, 9:60. Article
  • Kouwenberg M, Rieffe C, Theunissen SCPM, De Rooij M (2012) Peer Victimization Experienced by Children and Adolescents Who Are Deaf or Hard of Hearing. PLoS ONE 7(12): e52174. doi:10.1371/journal.pone.0052174. Article
  • De Rooij, M. (2011). Transitional ideal point models for longitudinal multinomial outcomes. Statistical Modeling, 11, 115-135. Article
  • P.C. Koolschijn, Margot Schel, Mark de Rooij, Serge Rombouts, and Eveline Crone (2011). A 3-year longitudinal fMRI study of performance monitoring and test-retest reliability from childhood to early adulthood. Journal of Neuroscience, 31, 4204-4212. Article
  • Hagenaars, M. Van Minnen, A. & De Rooij, M (2010). Cognitions as a mechanism for change in prolonged exposure treatment for PTSD. International Journal of clinical and Health Psychology, 10, 421-434. Article.
  • De Rooij, M. and 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, (pp. 245-252). Heidelberg: Springer.
  • Spinhoven, P., De Rooij, M., Heiser, W.J., Penninx, B. and Smit, J. (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. Article
  • De Rooij, M. (2009). Ideal point discriminant analysis with a special emphasis on visualisation. Psychometrika, 74, 317-330. Article
  • Polak, M.G., Heiser, W.J. and De Rooij, M. (2009). Two types of single-peaked data: correspondence analysis as an alternative to principal component analysis, Computational Statistics and Data Analysis, 53, 3117-3128. Article
  • Busing, F.M.T.A. and De Rooij, M. (2009). Unfolding incomplete data. Journal of Classification, 26, 329-360. Article
  • De Rooij, M. (2009). Trend vector models for the analysis of change in continuous time for multiple groups. Computational Statistics and Data Analysis, .53, 3209-3216. Article
  • De Rooij, M. (2008). The analysis of change, Newton’s law of gravity, and Association models. Journal of the Royal Statistical Society, series A. 171, 137-157. Article
  • De Kwaatsteniet, E.W., Wit, A., Van Dijk, E., De Cremer, D. and De Rooij, M. (2007). Justifying Decisions in Social Dilemmas: Justification Pressures and Tacit Coordination under Environmental uncertainty. Personality and Social Psychology Bulletin, 33, 1648-1660. Article
  • De Rooij, M. & Anderson, C.J. (2007). Visualising, Summarizing and Comparing odds ratio structures. Methodology, 3, 139-148. Article
  • De Rooij, M. (2007). The distance perspective of generalized biadditive models: scalings and transformations. Journal of Computational and Graphical Statistics, 16, 210-227. Article
  • De Rooij, M. (2007). The use of covariates in distance association models for the analysis of change. In: Van Montfort, K., Oud, H., and Sattora, A. (Eds) “Longitudinal models in the behavioral and related sciences”, (pp. 367-380). Mahwah, New Jersey: Lawrence Erlbaum Associates. Article
  • De Rooij, M. and 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. Article
  • De Rooij, M. and Kroonenberg, P.M. (2003). Multivariate multinomial logit models for dyadic sequential interaction data, Multivariate Behavioral Research, 38, 463-504. Article
  • De Rooij, M. and Gower, J.C. (2003). The geometry of triadic distances, Journal of Classification, 20, 181-220. Article
  • Gower, J.C. and De Rooij, M. (2003). A comparison of the multidimensional scaling of triadic and dyadic distances, Journal of Classification, 20, 115-136. Article
  • De Rooij, M. and Heiser, W.J. (2003). A distance representation of the quasi-symmetry model and related distance models. In Yanai, H., Okada, A., Shigemasu, K. Kano, Y. and Meulman, J.J. (Eds). New developments in Psychometrics, pp. 487-494. Tokyo: Springer-Verlag
  • Frank, L.E., De Rooij, M. and Heiser, W.J. (2003). Monte Carlo simulation in three-way unfolding: Assessing the combined effect of sparseness and variation of the cell frequencies. In Yanai, H., Okada, A., Shigemasu, K. Kano, Y. and Meulman, J.J. (Eds). New developments in Psychometrics, pp. 511-518. Tokyo: Springer-Verlag. Article
  • De Rooij, M. (2002). Three-way distance models and three-way association. Journal of Classification, 19, 161-178. Article
  • De Rooij, M. (2002). Studying triadic distance models under a likelihood function. In Nishisato, S., Baba, Y. Bozdogan, H., and Kanefuji, K. (Eds). Measurement and Multivariate Analysis, pp. 69-76. Tokyo: Springer-Verlag. Article
  • De Rooij, M. (2001). Distance-Association models for the analysis of repeated transition frequency tables. Statistica Neerlandica, 55, 156-180. Article
  • De Rooij, M. (2001). Distance models for the analysis of transition frequency data. Doctoral thesis. Leiden University.
  • De Rooij, M. and 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. Article