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Marjolein Fokkema
Marjolein Fokkema
Associate Professor at Universiteit Leiden
Verified email at fsw.leidenuniv.nl - Homepage
Title
Cited by
Cited by
Year
The promise of machine learning in predicting treatment outcomes in psychiatry
AM Chekroud, J Bondar, J Delgadillo, G Doherty, A Wasil, M Fokkema, ...
World Psychiatry 20 (2), 154-170, 2021
3442021
How performing PCA and CFA on the same data equals trouble
M Fokkema, S Greiff
European Journal of Psychological Assessment 33 (6), 399, 2017
3112017
Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees
M Fokkema, N Smits, A Zeileis, T Hothorn, H Kelderman
Behavior Research Methods 50 (5), 2016–2034, 2018
2382018
Depressive and anxiety disorders and the association with obesity, physical, and social activities
LM de Wit, M Fokkema, A van Straten, F Lamers, P Cuijpers, ...
Depression and Anxiety 27 (11), 1057-1065, 2010
2302010
Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
B Zhang, M Fokkema, P Cuijpers, J Li, N Smits, A Beekman
BMC Medical Research Methodology 11 (1), 74, 2011
1322011
Response shifts in mental health interventions: An illustration of longitudinal measurement invariance.
M Fokkema, N Smits, H Kelderman, P Cuijpers
Psychological Assessment 25 (2), 520, 2013
1242013
Adolescent Interpersonal Relationships, Social Support and Loneliness in High Schools: Mediation Effect and Gender Differences
B Zhang, Q Gao, M Fokkema, V Alterman, Q Liu
Social Science Research 53, 104–117, 2015
962015
Longitudinal measurement invariance of the Beck Scale for Suicide Ideation
DP De Beurs, M Fokkema, MH De Groot, J De Keijser, AJFM Kerkhof
Psychiatry Research 225 (3), 368–373, 2015
842015
Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data
M Fokkema, J Edbrooke-Childs, M Wolpert
Psychotherapy Research 31 (3), 329-341, 2021
682021
Fitting prediction rule ensembles with R package pre
M Fokkema
Journal of Statistical Software 92 (12), 1-30, 2020
54*2020
The prevalence of stress‐related outcomes and occupational well‐being among emergency nurses in the Netherlands and the role of job factors: A regression tree analysis
AN de Wijn, M Fokkema, MP van der Doef
Journal of Nursing Management 30 (1), 187-197, 2022
352022
Optimizing the assessment of suicidal behavior: The application of curtailment techniques
DP de Beurs, M Fokkema, RC O’Connor
Journal of Affective Disorders 196, 218-224, 2016
342016
Moderators of change in an Internet-based intervention for eating disorders with different levels of therapist support: What works for whom?
JJ Aardoom, AE Dingemans, M Fokkema, P Spinhoven, EF Van Furth
Behaviour Research and Therapy 89, 66-74, 2017
302017
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
TC Kraan, HK Ising, M Fokkema, E Velthorst, DPG van den Berg, ...
Psychiatry Research 247, 55-62, 2017
302017
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial
M Fokkema, C Strobl
Psychological Methods 25 (5), 636-652, 2020
282020
Identity change among smokers and ex-smokers: Findings from the ITC Netherlands Survey.
E Meijer, C van Laar, WA Gebhardt, M Fokkema, B van den Putte, ...
Psychology of Addictive Behaviors 31 (4), 465, 2017
282017
SEM-based out-of-sample predictions
M de Rooij, JD Karch, M Fokkema, Z Bakk, BC Pratiwi, H Kelderman
Structural Equation Modeling: A Multidisciplinary Journal 30 (1), 132-148, 2023
272023
Machine learning and prediction in psychological assessment: Some promises and pitfalls.
M Fokkema, D Iliescu, S Greiff, M Ziegler
European Journal of Psychological Assessment 38 (3), 2022
272022
Which patients benefit specifically from short-term psychodynamic psychotherapy (STPP) for depression? Study protocol of a systematic review and meta-analysis of individual …
E Driessen, AA Abbass, JP Barber, MBC Gibbons, JJM Dekker, ...
BMJ Open 8 (2), e018900, 2018
262018
Nanoplastics causes extensive congenital malformations during embryonic development by passively targeting neural crest cells
M Wang, M Rücklin, RE Poelmann, CL de Mooij, M Fokkema, ...
Environment International 173, 107865, 2023
222023
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Articles 1–20