Search Results - "Strobl, Carolin"

Conditional permutation importance revisited by Debeer, Dries, Strobl, Carolin

“…Random forest based variable importance measures have become popular tools for assessing the contributions of the predictor variables in a fitted random…”
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An Introduction to Recursive Partitioning: Rationale, Application, and Characteristics of Classification and Regression Trees, Bagging, and Random Forests by Strobl, Carolin, Malley, James, Tutz, Gerhard

“…Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially…”
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Identifying Informative Predictor Variables With Random Forests by Rothacher, Yannick, Strobl, Carolin

“…Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests’ potential…”
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Conditional variable importance for random forests by Strobl, Carolin, Boulesteix, Anne-Laure, Kneib, Thomas, Augustin, Thomas, Zeileis, Achim

“…Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems, complex interactions and even…”
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An R toolbox for score-based measurement invariance tests in IRT models by Schneider, Lennart, Strobl, Carolin, Zeileis, Achim, Debelak, Rudolf

“…The detection of differential item functioning (DIF) is a central topic in psychometrics and educational measurement. In the past few years, a new family of…”
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What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit Model by Fellinghauer, Carolina, Debelak, Rudolf, Strobl, Carolin

“…This simulation study investigated to what extent departures from construct similarity as well as differences in the difficulty and targeting of scales impact…”
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A New Stopping Criterion for Rasch Trees Based on the Mantel–Haenszel Effect Size Measure for Differential Item Functioning by Henninger, Mirka, Debelak, Rudolf, Strobl, Carolin

“…To detect differential item functioning (DIF), Rasch trees search for optimal splitpoints in covariates and identify subgroups of respondents in a data-driven…”
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Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models by Debelak, Rudolf, Strobl, Carolin

“…M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this…”
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The behaviour of random forest permutation-based variable importance measures under predictor correlation by Nicodemus, Kristin K, Malley, James D, Strobl, Carolin, Ziegler, Andreas

“…Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is…”
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Unbiased split selection for classification trees based on the Gini Index by Strobl, Carolin, Boulesteix, Anne-Laure, Augustin, Thomas

“…Classification trees are a popular tool in applied statistics because their heuristic search approach based on impurity reduction is easy to understand and the…”
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Human Double-Negative Regulatory T-Cells Induce a Metabolic and Functional Switch in Effector T-Cells by Suppressing mTOR Activity by Haug, Tabea, Aigner, Michael, Peuser, Moritz M, Strobl, Carolin D, Hildner, Kai, Mougiakakos, Dimitrios, Bruns, Heiko, Mackensen, Andreas, Völkl, Simon

“…The recently discovered population of TCRαβ+ CD4-/CD8- (double-negative, DN) T-cells are highly potent suppressor cells in mice and humans. In preclinical…”
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Predictors of depression among middle-aged and older men and women in Europe: A machine learning approach by Handing, Elizabeth P., Strobl, Carolin, Jiao, Yuqin, Feliciano, Leilani, Aichele, Stephen

“…The high prevalence of depression in a growing aging population represents a critical public health issue. It is unclear how social, health, cognitive, and…”
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On the Estimation of Standard Errors in Cognitive Diagnosis Models by Philipp, Michel, Strobl, Carolin, de la Torre, Jimmy, Zeileis, Achim

“…Cognitive diagnosis models (CDMs) are an increasingly popular method to assess mastery or nonmastery of a set of fine-grained abilities in educational or…”
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Bias in random forest variable importance measures: illustrations, sources and a solution by Strobl, Carolin, Boulesteix, Anne-Laure, Zeileis, Achim, Hothorn, Torsten

“…Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in…”
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COVID‐19 in Patients Receiving CD20‐depleting Immunochemotherapy for B‐cell Lymphoma by Gaitzsch, Erik, Passerini, Verena, Khatamzas, Elham, Strobl, Carolin D., Muenchhoff, Maximilian, Scherer, Clemens, Osterman, Andreas, Heide, Michael, Reischer, Anna, Subklewe, Marion, Leutbecher, Alexandra, Tast, Benjamin, Ruhle, Adrian, Weiglein, Tobias, Stecher, Stephanie‐Susanne, Stemmler, Hans J., Dreyling, Martin, Girl, Philipp, Georgi, Enrico, Wölfel, Roman, Mateyka, Laura, D'Ippolito, Elvira, Schober, Kilian, Busch, Dirk H., Kager, Juliane, Spinner, Christoph D., Treiber, Matthias, Rasch, Sebastian, Lahmer, Tobias, Iakoubov, Roman, Schneider, Jochen, Protzer, Ulrike, Winter, Christof, Ruland, Jürgen, Quante, Michael, Keppler, Oliver T., Bergwelt‐Baildon, Michael, Hellmuth, Johannes, Weigert, Oliver

“…The clinical and immunological impact of B‐cell depletion in the context of coronavirus disease 2019 (COVID‐19) is unclear. We conducted a prospectively…”
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Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction by Boulesteix, Anne-Laure, Strobl, Carolin

“…In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data…”
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Suppressive effects of tumor cell-derived 5′-deoxy-5′-methylthioadenosine on human T cells by Henrich, Frederik C., Singer, Katrin, Poller, Kerstin, Bernhardt, Luise, Strobl, Carolin D., Limm, Katharina, Ritter, Axel P., Gottfried, Eva, Völkl, Simon, Jacobs, Benedikt, Peter, Katrin, Mougiakakos, Dimitrios, Dettmer, Katja, Oefner, Peter J., Bosserhoff, Anja-Katrin, Kreutz, Marina P., Aigner, Michael, Mackensen, Andreas

“…The immunosuppressive tumor microenvironment represents one of the main obstacles for immunotherapy of cancer. The tumor milieu is among others shaped by tumor…”
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Flexible Rasch Mixture Models with Package psychomix by Frick, Hannah, Strobl, Carolin, Leisch, Friedrich, Zeileis, Achim

“…Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this…”
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Psychoco: Psychometric Computing in R by Wickelmaier, Florian, Strobl, Carolin, Zeileis, Achim

“…This special volume features eleven contributions to psychometric computing, a research area that integrates psychometrics and computational methods in…”
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Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial by Fokkema, Marjolein, Strobl, Carolin

“…Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive performance and…”
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