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Psychological Methods|February 11, 2020
Fitting prediction rule ensembles to psychological research data: An introduction and tutorialMarjolein Fokkema, Carolin StroblJournal of School Psychology|April 3, 2025
One model may not fit all: Subgroup detection using model-based recursive partitioningMarjolein Fokkema, Mirka Henninger, Carolin StroblBehavior Research Methods|May 29, 2024
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) treesMarjolein Fokkema, Achim ZeileisEducational and Psychological Measurement|March 27, 2019
Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL ModelsRudolf Debelak, Carolin StroblBMC Bioinformatics|July 16, 2020
Conditional permutation importance revisitedDries Debeer, Carolin StroblBiometrical Journal. Biometrische Zeitschrift|September 2, 2022
Against the "one method fits all data sets" philosophy for comparison studies in methodological researchCarolin Strobl, Friedrich LeischPsychotherapy Research : Journal of the Society for Psychotherapy Research|July 1, 2020
Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal dataMarjolein Fokkema, Julian Edbrooke-Childs, Miranda WolpertBMC Medical Research Methodology|December 23, 2009
Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional predictionAnne-Laure Boulesteix, Carolin StroblPsychological Assessment|January 24, 2013
Response shifts in mental health interventions: an illustration of longitudinal measurement invarianceMarjolein Fokkema, Niels Smits, Henk Kelderman, et al.Applied Psychological Measurement|June 9, 2018
A Framework for Anchor Methods and an Iterative Forward Approach for DIF DetectionJulia Kopf, Achim Zeileis, Carolin StroblPageof 6