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C. Strobl · SciRah

Researcher profile · Semantic Scholar

C. Strobl

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C. Strobl — researcher profile on SciRah

h-index: 33
Works: 98
Citations: 7,987

Most-cited papers

An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests
C. Strobl, J. Malley, G. Tutz
2009Psychological methods2,508 citations Open access
Semantic Scholar
Bias in random forest variable importance measures: Illustrations, sources and a solution
C. Strobl, A. Boulesteix, A. Zeileis, T. Hothorn
2007BMC Bioinformatics1,643 citations Open access
Semantic Scholar
Flexible Rasch Mixture Models with Package psychomix
H. Frick, C. Strobl, F. Leisch, A. Zeileis
2012411 citations Open access
Semantic Scholar
The behaviour of random forest permutation-based variable importance measures under predictor correlation
K. Nicodemus, J. Malley, C. Strobl, A. Ziegler
2010BMC Bioinformatics366 citations Open access
Semantic Scholar
Unbiased split selection for classification trees based on the Gini Index
C. Strobl, A. Boulesteix, Thomas Augustin
2007Computational Statistics & Data Analysis324 citations Open access
Semantic Scholar
An AUC-based permutation variable importance measure for random forests
S. Janitza, C. Strobl, A. Boulesteix
2013BMC Bioinformatics277 citations Open access
Semantic Scholar
A new variable importance measure for random forests with missing data
A. Hapfelmeier, T. Hothorn, K. Ulm, C. Strobl
2012Statistics and computing203 citations
Semantic Scholar
Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model
C. Strobl, J. Kopf, A. Zeileis
2015Psychometrika167 citations Open access
Semantic Scholar
Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package
C. Strobl, T. Hothorn, A. Zeileis
2009163 citations
Semantic Scholar
Conditional permutation importance revisited
D. Debeer, C. Strobl
2020BMC Bioinformatics162 citations Open access
Semantic Scholar
Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance
C. Strobl, A. Zeileis
2008137 citations
Semantic Scholar
Anchor Selection Strategies for DIF Analysis
J. Kopf, A. Zeileis, C. Strobl
2015Educational and Psychological Measurement122 citations Open access
Semantic Scholar
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations
A. Boulesteix, Andreas Bender, J. L. Bermejo, C. Strobl
2012Briefings Bioinform.121 citations Open access
Semantic Scholar
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
Martin Schweinsberg, Michael Feldman, Nicola Staub, O. R. van den Akker +175 more
2021Organizational Behavior and Human Decision Processes118 citations Open access
Semantic Scholar
Evaluating Microarray-based Classifiers: An Overview
A. Boulesteix, C. Strobl, Thomas Augustin, M. Daumer
2008Cancer Informatics116 citations Open access
Semantic Scholar
Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning
C. Strobl, Florian Wickelmaier, A. Zeileis
201197 citations Open access
Semantic Scholar
Analysis of the individual and aggregate genetic contributions of previously identified serine peptidase inhibitor Kazal type 5 (SPINK5), kallikrein-related peptidase 7 (KLK7), and filaggrin (FLG) polymorphisms to eczema risk.
S. Weidinger, H. Baurecht, S. Wagenpfeil, J. Henderson +26 more
2008Journal of Allergy and Clinical Immunology85 citations Open access
Semantic Scholar
Forest management and regional tree composition drive the host preference of saproxylic beetle communities
Jörg Müller, Beate Wende, C. Strobl, M. Eugster +6 more
201578 citations Open access
Semantic Scholar
Predictors of depression among middle-aged and older men and women in Europe: A machine learning approach
Elizabeth P. Handing, C. Strobl, Yuqin Jiao, L. Feliciano +1 more
2022The Lancet Regional Health - Europe73 citations Open access
Semantic Scholar
Rasch Mixture Models for DIF Detection
H. Frick, C. Strobl, A. Zeileis
2015Educational and Psychological Measurement67 citations Open access
Semantic Scholar
A Laboratory for Recursive Partytioning
T. Hothorn, K. Hornik, C. Strobl, A. Zeileis
201562 citations
Semantic Scholar
A Toolkit for Stability Assessment of Tree-Based Learners
M. Philipp, A. Zeileis, C. Strobl
201661 citations
Semantic Scholar
On the Estimation of Standard Errors in Cognitive Diagnosis Models
M. Philipp, C. Strobl, J. de la Torre, A. Zeileis
201860 citations Open access
Semantic Scholar
Tree-Based Global Model Tests for Polytomous Rasch Models
B. Komboz, C. Strobl, A. Zeileis
2018Educational and Psychological Measurement59 citations Open access
Semantic Scholar
A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection
J. Kopf, A. Zeileis, C. Strobl
2015Applied Psychological Measurement55 citations Open access
Semantic Scholar
Party on!
C. Strobl, T. Hothorn, A. Zeileis
2009The R Journal55 citations
Semantic Scholar
Letter to the Editor: On the term ‘interaction’ and related phrases in the literature on Random Forests
A. Boulesteix, S. Janitza, A. Hapfelmeier, K. van Steen +1 more
2014Briefings Bioinform.54 citations Open access
Semantic Scholar
Interpretable machine learning for psychological research: Opportunities and pitfalls.
Mirka Henninger, R. Debelak, Yannick Rothacher, C. Strobl
2023Psychological methods48 citations Open access
Semantic Scholar
Measuring the Stability of Results From Supervised Statistical Learning
M. Philipp, T. Rusch, K. Hornik, C. Strobl
2018Journal of Computational And Graphical Statistics47 citations
Semantic Scholar
Score-Based Tests of Differential Item Functioning in the Two-Parameter Model
Ting Wang, C. Strobl, A. Zeileis, E. Merkle
201642 citations
Semantic Scholar
Against the “one method fits all data sets” philosophy for comparison studies in methodological research
C. Strobl, F. Leisch
2022Biometrical journal. Biometrische Zeitschrift34 citations Open access
Semantic Scholar
Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model
C. Strobl, J. Kopf, A. Zeileis
2013Psychometrika34 citations Open access
Semantic Scholar
Alternative methods to quantify variable importance in ecology
S. Oppel, C. Strobl, F. Huettmann
200934 citations
Semantic Scholar
Random Forests with Missing Values in the Covariates
Anna K Rieger, T. Hothorn, C. Strobl
201033 citations
Semantic Scholar
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.
Marjolein Fokkema, C. Strobl
2019Psychological methods29 citations Open access
Semantic Scholar
Advances in Social Science Research Using R
C. Strobl
201029 citations Open access
Semantic Scholar
Statistical issues in machine learning: towards reliable split selection and variable importance measures
C. Strobl
200829 citations
Semantic Scholar
An R toolbox for score-based measurement invariance tests in IRT models
Lennart Schneider, C. Strobl, A. Zeileis, R. Debelak
2020Behavior Research Methods26 citations Open access
Semantic Scholar
[Automated breast ultrasound vs. handheld ultrasound: BI-RADS classification, duration of the examination and patient comfort].
H. Prosch, C. Halbwachs, C. Strobl, L-M Reisner +3 more
2011Ultraschall in der Medizin25 citations
Semantic Scholar
Anchor point selection: An approach for anchoring without anchor items
C. Strobl, J. Kopf, Raphael Hartmann, A. Zeileis
201824 citations
Semantic Scholar
A New Stopping Criterion for Rasch Trees Based on the Mantel–Haenszel Effect Size Measure for Differential Item Functioning
Mirka Henninger, R. Debelak, C. Strobl
2021Educational and Psychological Measurement22 citations Open access
Semantic Scholar
Party on! A new, conditional variable importance measure available in the party package
C. Strobl, T. Hothorn, A. Zeileis
200922 citations
Semantic Scholar
psychotree - Recursive partitioning based on psychometric models: Version 0.12-1
A. Zeileis, C. Strobl, Florian Wickelmaier, J. Kopf
201121 citations
Semantic Scholar
Statistical Applications in Genetics and Molecular Biology Multiple Testing for SNP-SNP Interactions
C. Strobl, Stefan Weidinger, H. Wichmann, S. Wagenpfeil
200719 citations
Semantic Scholar
Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation
Ting Wang, C. Strobl, A. Zeileis, E. Merkle
2017Psychometrika18 citations
Semantic Scholar
The potential of model-based recursive partitioning in the social sciences - Revisiting Ockham's Razor
J. Kopf, Thomas Augustin, C. Strobl
201018 citations Open access
Semantic Scholar
Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints
A. Boulesteix, C. Strobl
2007Computational Statistics & Data Analysis17 citations
Semantic Scholar
Anchor Point Selection: Scale Alignment Based on an Inequality Criterion
C. Strobl, J. Kopf, L. Kohler, T. von Oertzen +1 more
2021Applied Psychological Measurement15 citations Open access
Semantic Scholar
Variable Selection in Classification Trees Based on Imprecise Probabilities
C. Strobl
2005International Symposium on Imprecise Probabilities and Their Applications15 citations
Semantic Scholar
(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms
M. Eugster, F. Leisch, C. Strobl
2014Computational Statistics & Data Analysis14 citations Open access
Semantic Scholar

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