2020

Fokkema, M. (2020). Fitting prediction rule ensembles with R package pre. Journal of Statistical Software, 92(12), 1-30. http://doi.org/10.18637/jss.v092.i12

van Loon, W., Fokkema, M., Szabo, B., de Rooij, M. (2020). Stacked penalized logistic regression for selecting views in multi-view learning. Information Fusion. https://doi.org/10.1016/j.inffus.2020.03.007

Fokkema, M., Edbrooke-Childs, J. & Wolpert, M. (accepted). Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data. Psychotherapy Research. Manuscript. Supplementary tutorial. Supplementary data.


2019

van Ballegooijen, W., Eikelenboom, M., Fokkema, M., Riper, H., van Hemert, A. M., Kerkhof, A. J., ... & Smit, J. H. (2019). Comparing factor structures of depressed patients with and without suicidal ideation, a measurement invariance analysis. Journal of Affective Disorders, 245, 180-187. http://doi.org/10.1016/j.jad.2018.10.108

Rohrbach, P., Dingemans, A.E., Spinhove, P., Van Ginkel, J., Fokkema, M., Van den Akker-Van Marle, E., Van Furth, E., Moessner, M. & Bauer, S. (2019). A randomized controlled trial of an internet-based intervention for eating disorders and the added value of expert-patient support: study protocol. Trials 20, 509. http://doi.org/10.1186/s13063-019-3574-2

de Rooij, M., Pratiwi, B.C., Fokkema, M., Dusseldorp, E. & Kelderman, H. (2019). The Early Roots of Statistical Learning in the Psychometric Literature: A review and two new results. Preprint: arxiv:1911.11463

Wolpert, M., Zamperoni, V., Napoleone, E., Patalay, P., Jacob, J., Fokkema, M., Promberger, M., Costa da Silva, L., Patel, M., & Edbrooke-Childs, J. (in press). Predicting mental health improvement and deterioration in a large community sample of 11- to 13-year-olds. European Child & Adolescent Psychiatry. http://doi.org/10.1007/s00787-019-01334-4



2018

Fokkema, M., Smits, N., Zeileis, A., Hothorn, T. & Kelderman, H. (2018). Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees. Behavior Research Methods, 50(5), 2016-2034.  http://doi.org/10.3758/s13428-017-0971-x

Fokkema, M. & Greiff, S. (2018). Would you prefer your coefficients with a little bias, or rather with a lot of variance? European Journal of Psychological Assessment, 34(6), 363-366. http://doi.org/10.1027/1015-5759/a000514

Driessen, E., Abbass, A. A., Barber, J. P., Gibbons, M. B. C., Dekker, J. J., Fokkema, M., ... & Town, J. M. (2018). Which patients benefit specifically from short-term psychodynamic psychotherapy (STPP) for depression? Study protocol of a systematic review and meta-analysis of individual participant data. BMJ open, 8(2), e018900.
http://doi.org/10.1136/bmjopen-2017-018900



2017

Fokkema, M., & Greiff, S. (2017). How performing PCA and CFA on the same data equals trouble. European Journal of Psychological Assessment, 33(6), 399–402. http://doi.org/10.1027/1015-5759/a000460

Aardoom, J.J., Dingemans, A.E., Fokkema, M., Spinhoven, P., & Van Furth, E.F. (2017). Moderators of change in an Internet-based intervention for eating disorders with different levels of therapist support: What works for whom? Behaviour Research and Therapy, 89, 66-74. http://doi.org/10.1016/j.brat.2016.11.012

Kraan, T. C., Ising, H. K., Fokkema, M., Velthorst, E., van den Berg, D. P., Kerkhoven, M., ... & Wunderink, L. (2017). The effect of childhood adversity on 4-year outcome in individuals at ultra high risk for psychosis in the Dutch Early Detection Intervention Evaluation (EDIE-NL) Trial. Psychiatry Research, 247, 55-62. http://doi.org/10.1016/j.psychres.2016.11.014

Meijer, E., Van Laar, C., Gebhardt, W.A., Fokkema, M., Van den Putte, B., Dijkstra, A., Fong, G. T., & Willemsen, M.C. (2017). Identity change among smokers and ex-smokers: Findings from the ITC Netherlands survey. Psychology of Addictive Behaviors, 31(4), 465-478. http://doi.org/10.1037/adb0000281


2016

De Beurs, D. Fokkema, M., O'Connor, R. (2016). Optimizing the assessment of suicidal behavior: The application of curtailment techniques. Journal of Affective Disorders, 196, 218-224. http://doi.org/10.1016/j.jad.2016.02.033


2015

De Beurs, D.P., Fokkema, M., De Groot, M.H., De Keijser, J. & Kerkhof, A.J.F.M. (2015). Longitudinal measurement invariance of the Beck Scale for Suicide Ideation. Psychiatry Research, 225(3), 368–373. http://doi.org/10.1016/j.psychres.2014.11.075

Fokkema, M., Smits, N., Kelderman, & Penninx, B.W.J.H. (2015). Connecting clinical and actuarial prediction with rule-based methods. Psychological Assessment, 27(2), 636-644. http://doi.org/10.1037/pas0000072

Zhang, B., Gao, Q., Fokkema, M., Alterman, V., Liu, & Q. (2015). Adolescent Interpersonal Relationships, Social Support and Loneliness in High Schools: Mediation Effect and Gender Differences. Social Science Research, 53, 104–117. http://doi.org/10.1016/j.ssresearch.2015.05.003


2014

Fokkema, M., Smits, N., Finkelman, M. D., Kelderman, H., & Cuijpers, P. (2014). Curtailment: A method to reduce the length of self-report questionnaires while maintaining diagnostic accuracy. Psychiatry Research, 215(2), 477-482.
http://doi.org/10.1016/j.psychres.2013.11.003

Fokkema, M., Smits, N., Kelderman, H., Carlier, I. V., & Van Hemert, A. M. (2014). Combining decision trees and stochastic curtailment for assessment length reduction of test batteries used for classification. Applied Psychological Measurement, 38(1), 3-17. http://doi.org/10.1177/0146621613494466

Geraedts, A.S., Fokkema, M., Kleiboer, A.M., Smit, F., Wiezer, N.W., Majo, M.C., Van Mechelen, W., Cuijpers, P., & Penninx, B.W.J.H. (2014). The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety. Journal of Occupational and Environmental Medicine, 56(8), 794-801. http://doi.org/10.1097/JOM.0000000000000234


2013

Fokkema, M., Smits, N., Kelderman, H., & Cuijpers, P. (2013). Response shifts in mental health interventions: An illustration of longitudinal measurement invariance. Psychological Assessment, 25(2), 520-531. http://doi.org/10.1037/a0031669

Rietdijk, J., Fokkema, M., Stahl, D., Valmaggia, L., Ising, H. K., Dragt, S., ... , van der Gaag, M. (2013). The distribution of self-reported psychotic-like experiences in non-psychotic help-seeking mental health patients in the general population; a factor mixture analysis. Social Psychiatry and Psychiatric Epidemiology, 49(3), 349-358. http://doi.org/10.1007/s00127-013-0772-1


2011

Zhang, B., Fokkema, M., Cuijpers, P., Li, J., Smits, N., & Beekman, A. (2011). Measurement invariance of the center for epidemiological studies depression scale (CES-D) among Chinese and Dutch elderly. BMC Medical Research Methodology, 11(1), 74. http://doi.org/10.1186/1471-2288-11-74


2010

De Wit, L. M., Fokkema, M., van Straten, A., Lamers, F., Cuijpers, P., & Penninx, B. W. (2010). Depressive and anxiety disorders and the association with obesity, physical, and social activities. Depression and Anxiety, 27(11), 1057-1065. http://doi.org/10.1002/da.20738