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Educational and Psychological Measurement|November 16, 2023
What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit ModelCarolina Fellinghauer, Rudolf Debelak, Carolin StroblEducational and Psychological Measurement|May 26, 2018
Rasch Mixture Models for DIF Detection: A Comparison of Old and New Score SpecificationsHannah Frick, Carolin Strobl, Achim ZeileisJournal of School Psychology|April 3, 2025
One model may not fit all: Subgroup detection using model-based recursive partitioningMarjolein Fokkema, Mirka Henninger, Carolin StroblPlos One|May 19, 2012
A new way of identifying biomarkers in biomedical basic-research studiesAlexander Yassouridis, Tonia Ludwig, Axel Steiger, et al.Biotechnology Journal|February 22, 2024
Explainable deep learning enhances robust and reliable real-time monitoring of a chromatographic protein A capture stepMatthias Medl, Friedrich Leisch, Astrid Dürauer, et al.BMC Bioinformatics|April 9, 2013
An AUC-based permutation variable importance measure for random forestsSilke Janitza, Carolin Strobl, Anne-Laure BoulesteixPlos One|March 30, 2021
Temporal patterns of roe deer traffic accidents: Effects of season, daytime and lunar phaseWolfgang Steiner, Eva Maria Schöll, Friedrich Leisch, et al.Behavior Research Methods|December 17, 2021
An R toolbox for score-based measurement invariance tests in IRT modelsLennart Schneider, Carolin Strobl, Achim Zeileis, et al.Psychological Methods|May 25, 2023
Interpretable machine learning for psychological research: Opportunities and pitfallsMirka Henninger, Rudolf Debelak, Yannick Rothacher, et al.Microbial Cell Factories|July 17, 2009
Interactive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E. coliTheresa Scharl, Gerald Striedner, Florentina Pötschacher, et al.Pageof 7