BibBase strobl, c

2020 (1)

Progressive or simple? A corpus-based study of aspect in World Englishes. Hundt, M.; Rautionaho, P.; and Strobl, C. Corpora. 2020.
link bibtex

@article{hundt_progressive_2020,
	title = {Progressive or simple? {A} corpus-based study of aspect in {World} {Englishes}},
	journal = {Corpora},
	author = {Hundt, M. and Rautionaho, P. and Strobl, C.},
	year = {2020},
}

2019 (3)

Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial. Fokkema, M.; and Strobl, C. Technical Report 2019.
link bibtex

@techreport{fokkema_fitting_2019,
	title = {Fitting {Prediction} {Rule} {Ensembles} to {Psychological} {Research} {Data}: {An} {Introduction} and {Tutorial}},
	author = {Fokkema, Marjolein and Strobl, Carolin},
	year = {2019},
}

A comparison of aggregation rules for selecting anchor items in multi group DIF analysis. Huelmann, T.; Debelak, R.; and Strobl, C. Journal of Educational Measurement. 2019.
doi link bibtex

@article{huelmann_comparison_2019,
	title = {A comparison of aggregation rules for selecting anchor items in multi group {DIF} analysis},
	doi = {10.1111/jedm.12246},
	journal = {Journal of Educational Measurement},
	author = {Huelmann, Thorben and Debelak, Rudolf and Strobl, Carolin},
	year = {2019},
}

Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models. Debelak, R.; and Strobl, C. Educational and Psychological Measurement, 79(2): 385–398. 2019.
doi link bibtex

@article{debelak_investigating_2019,
	title = {Investigating {Measurement} {Invariance} by {Means} of {Parameter} {Instability} {Tests} for {2PL} and {3PL} {Models}},
	volume = {79},
	doi = {10.1177/0013164418777784},
	number = {2},
	journal = {Educational and Psychological Measurement},
	author = {Debelak, Rudolf and Strobl, Carolin},
	year = {2019},
	pages = {385--398},
}

2018 (4)

Positionspapier zur Rolle der Psychologischen Methodenlehre in Forschung und Lehre. Meiser, T.; Eid, M.; Carstensen, C.; Erdfelder, E.; Gollwitzer, M.; Pohl, S.; Steyer, R.; and Strobl, C. Psychologische Rundschau, 69: 325–331. 2018.
doi link bibtex

@article{meiser_positionspapier_2018,
	title = {Positionspapier zur {Rolle} der {Psychologischen} {Methodenlehre} in {Forschung} und {Lehre}},
	volume = {69},
	doi = {10.1026/0033-3042/a000417},
	journal = {Psychologische Rundschau},
	author = {Meiser, T. and Eid, M. and Carstensen, C. and Erdfelder, E. and Gollwitzer, M. and Pohl, S. and Steyer, R. and Strobl, C.},
	year = {2018},
	pages = {325--331},
}

On the Estimation of Standard Errors in Cognitive Diagnosis Models. Philipp, M.; Strobl, C.; Torre, J. d. l.; and Zeileis, A. Journal of Educational and Behavioral Statistics, 43(1): 88–115. 2018.
doi link bibtex

@article{philipp_estimation_2018,
	title = {On the {Estimation} of {Standard} {Errors} in {Cognitive} {Diagnosis} {Models}},
	volume = {43},
	doi = {10.3102/1076998617719728},
	number = {1},
	journal = {Journal of Educational and Behavioral Statistics},
	author = {Philipp, Michel and Strobl, Carolin and Torre, Jimmy de la and Zeileis, Achim},
	year = {2018},
	pages = {88--115},
}

Measuring the Stability of Results from Supervised Statistical Learning. Philipp, M.; Rusch, T.; Hornik, K.; and Strobl, C. Journal of Computational and Graphical Statistics, 27(4): 685–700. 2018.
doi link bibtex

@article{philipp_measuring_2018,
	title = {Measuring the {Stability} of {Results} from {Supervised} {Statistical} {Learning}},
	volume = {27},
	doi = {10.1080/10618600.2018.1473779},
	number = {4},
	journal = {Journal of Computational and Graphical Statistics},
	author = {Philipp, Michel and Rusch, Thomas and Hornik, Kurt and Strobl, Carolin},
	year = {2018},
	pages = {685--700},
}

Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation. Wang, T.; Strobl, C.; Zeileis, A.; and Merkle, E. C. Psychometrika,132–155. 2018.
doi link bibtex

@article{wang_score-based_2018,
	title = {Score-{Based} {Tests} of {Differential} {Item} {Functioning} via {Pairwise} {Maximum} {Likelihood} {Estimation}},
	doi = {10.1007/s11336-017-9591-8},
	journal = {Psychometrika},
	author = {Wang, Ting and Strobl, Carolin and Zeileis, Achim and Merkle, Edgar C.},
	year = {2018},
	pages = {132--155},
}

2017 (2)

A First Survey on the Diversity of the R Community. Bollmann, S.; Cook, D.; Dumas, J.; Fox, J.; Josse, J.; Keyes, O.; Strobl, C.; Turner, H; and Debelak, R. The R Journal, 9(2): 541–552. 2017.

A First Survey on the Diversity of the R Community [pdf]

Paper link bibtex

@article{bollmann_first_2017,
	title = {A {First} {Survey} on the {Diversity} of the {R} {Community}},
	volume = {9},
	url = {https://journal.r-project.org/archive/2017-2/forwards.pdf},
	number = {2},
	journal = {The R Journal},
	author = {Bollmann, S. and Cook, D. and Dumas, J. and Fox, J. and Josse, J. and Keyes, O. and Strobl, C. and Turner, H and Debelak, R.},
	year = {2017},
	pages = {541--552},
}

Tree-Based Global Model Tests for Polytomous Rasch Models. Komboz, B.; Strobl, C.; and Zeileis, A. Educational and Psychological Measurement, 78(1): 128–166. 2017.
doi link bibtex

@article{komboz_tree-based_2017,
	title = {Tree-{Based} {Global} {Model} {Tests} for {Polytomous} {Rasch} {Models}},
	volume = {78},
	doi = {10.1177/0013164416664394},
	number = {1},
	journal = {Educational and Psychological Measurement},
	author = {Komboz, Basil and Strobl, Carolin and Zeileis, Achim},
	year = {2017},
	pages = {128--166},
}

2016 (1)

A Toolkit for Stability Assessment of Tree-Based Learners. Philipp, M.; Zeileis, A.; and Strobl, C. In Colubi, I. A.; Blanco, A.; and Gatu, C., editor(s), Proceedings of COMPSTAT 2016 – 22nd International Conference on Computational Statistics, pages 315–325, Oviedo, 2016. The International Statistical Institute/International Association for Statistical Computing
link bibtex

@inproceedings{philipp_toolkit_2016,
	address = {Oviedo},
	title = {A {Toolkit} for {Stability} {Assessment} of {Tree}-{Based} {Learners}},
	booktitle = {Proceedings of {COMPSTAT} 2016 – 22nd {International} {Conference} on {Computational} {Statistics}},
	publisher = {The International Statistical Institute/International Association for Statistical Computing},
	author = {Philipp, Michel and Zeileis, Achim and Strobl, Carolin},
	editor = {Colubi, In Ana and Blanco, Angela and Gatu, Cristian},
	year = {2016},
	pages = {315--325},
}

2015 (5)

A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection. Kopf, J.; Zeileis, A.; and Strobl, C. Applied Psychological Measurement, 39(2): 83–103. 2015.
doi link bibtex

@article{kopf_framework_2015,
	title = {A {Framework} for {Anchor} {Methods} and an {Iterative} {Forward} {Approach} for {DIF} {Detection}},
	volume = {39},
	doi = {10.1177/0146621614544195},
	number = {2},
	journal = {Applied Psychological Measurement},
	author = {Kopf, J. and Zeileis, A. and Strobl, C.},
	year = {2015},
	pages = {83--103},
}

Rasch Mixture Models for DIF Detection: A Comparison of Old and New Score Specifications. Frick, H.; Strobl, C.; and Zeileis, A. Educational and Psychological Measurement, 75(2): 208–234. 2015.
doi link bibtex

@article{frick_rasch_2015,
	title = {Rasch {Mixture} {Models} for {DIF} {Detection}: {A} {Comparison} of {Old} and {New} {Score} {Specifications}},
	volume = {75},
	doi = {10.1177/0013164414536183},
	number = {2},
	journal = {Educational and Psychological Measurement},
	author = {Frick, Hannah and Strobl, Carolin and Zeileis, Achim},
	year = {2015},
	pages = {208--234},
}

Forest management and regional tree composition drive the host preference of saproxylic beetle communities. Mueller, J.; Wende, B.; Strobl, C.; Eugster, M.; Gallenberger, I.; Floren, A.; Steffan-Dewenter, I.; Linsenmair, K. E.; Weisser, W. W.; and Gossner, M. M. Journal of Applied Ecology, 52(3): 753–762. 2015.
doi link bibtex

@article{mueller_forest_2015,
	title = {Forest management and regional tree composition drive the host preference of saproxylic beetle communities},
	volume = {52},
	doi = {10.1111/1365-2664.12421},
	number = {3},
	journal = {Journal of Applied Ecology},
	author = {Mueller, Joerg and Wende, Beate and Strobl, Carolin and Eugster, Manuel and Gallenberger, Iris and Floren, Andreas and Steffan-Dewenter, Ingolf and Linsenmair, Karl Eduard and Weisser, Wolfgang W. and Gossner, Martin M.},
	year = {2015},
	pages = {753--762},
}

Anchor Selection Strategies for DIF Analysis: Review, Assessment, and New Approaches. Kopf, J.; Zeileis, A.; and Strobl, C. Educational and Psychological Measurement, 75(1): 22–56. 2015.
doi link bibtex

@article{kopf_anchor_2015,
	title = {Anchor {Selection} {Strategies} for {DIF} {Analysis}: {Review}, {Assessment}, and {New} {Approaches}},
	volume = {75},
	doi = {10.1177/0013164414529792},
	number = {1},
	journal = {Educational and Psychological Measurement},
	author = {Kopf, J. and Zeileis, A. and Strobl, C.},
	year = {2015},
	pages = {22--56},
}

Rasch trees: A New Method for Detecting Differential Item Functioning in the Rasch Model. Strobl, C.; Kopf, J.; and Zeileis, A. Psychometrika, 80(2): 289–316. 2015.
doi link bibtex

@article{strobl_rasch_2015,
	title = {Rasch trees: {A} {New} {Method} for {Detecting} {Differential} {Item} {Functioning} in the {Rasch} {Model}},
	volume = {80},
	doi = {10.1007/s11336-013-9388-3},
	number = {2},
	journal = {Psychometrika},
	author = {Strobl, Carolin and Kopf, Julia and Zeileis, Achim},
	year = {2015},
	pages = {289--316},
}

2014 (4)

Discussion to Wei-Yin Lohs "Fifty Years of Classification and Regression Trees". Strobl, C. International Statistical Review, 82(3): 349–352. 2014.
link bibtex

@article{strobl_discussion_2014,
	title = {Discussion to {Wei}-{Yin} {Lohs} "{Fifty} {Years} of {Classification} and {Regression} {Trees}"},
	volume = {82},
	number = {3},
	journal = {International Statistical Review},
	author = {Strobl, Carolin},
	year = {2014},
	pages = {349--352},
}

(Psycho-)Analysis of Benchmark Experiments - A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Eugster, M.; Leisch, F.; and Strobl, C. Computational Statistics & Data Analysis, 71(SI): 986–1000. 2014.
doi link bibtex

@article{eugster_psycho-analysis_2014,
	title = {({Psycho}-){Analysis} of {Benchmark} {Experiments} - {A} {Formal} {Framework} for {Investigating} the {Relationship} between {Data} {Sets} and {Learning} {Algorithms}},
	volume = {71},
	doi = {10.1016/j.csda.2013.08.007},
	number = {SI},
	journal = {Computational Statistics \& Data Analysis},
	author = {Eugster, M. and Leisch, F. and Strobl, C.},
	year = {2014},
	pages = {986--1000},
}

Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests. Boulesteix, A.; Janitza, S.; Hapfelmeier, A.; Van Steen, K.; and Strobl, C. Briefings in Bioinformatics, 16(2): 338–345. 2014.
doi link bibtex

@article{boulesteix_letter_2014,
	title = {Letter to the {Editor}: {On} the term 'interaction' and related phrases in the literature on {Random} {Forests}},
	volume = {16},
	doi = {10.1093/bib/bbu012},
	number = {2},
	journal = {Briefings in Bioinformatics},
	author = {Boulesteix, Anne-Laure and Janitza, Silke and Hapfelmeier, Alexander and Van Steen, Kristel and Strobl, Carolin},
	year = {2014},
	pages = {338--345},
}

A new variable importance measure for random forests with missing data. Hapfelmeier, A.; Hothorn, T.; Ulm, K.; and Strobl, C. Statistics and Computing, 24(1): 21–34. 2014.
doi link bibtex

@article{hapfelmeier_new_2014,
	title = {A new variable importance measure for random forests with missing data},
	volume = {24},
	doi = {10.1007/s11222-012-9349-1},
	number = {1},
	journal = {Statistics and Computing},
	author = {Hapfelmeier, Alexander and Hothorn, Torsten and Ulm, Kurt and Strobl, Carolin},
	year = {2014},
	pages = {21--34},
}

2013 (4)

The Potential of Model-Based Recursive Partitioning in the Social Sciences: Revisiting Ockam's Razor. Kopf, J.; Augustin, T.; and Strobl, C. In McArdle, J.; and Ritschard, G., editor(s), Contemporary Issues in Exploratory Data Mining, pages 75–95. Routeledge, New York, 2013. Section: 3
doi link bibtex

@incollection{kopf_potential_2013,
	address = {New York},
	title = {The {Potential} of {Model}-{Based} {Recursive} {Partitioning} in the {Social} {Sciences}: {Revisiting} {Ockam}'s {Razor}},
	booktitle = {Contemporary {Issues} in {Exploratory} {Data} {Mining}},
	publisher = {Routeledge},
	author = {Kopf, J. and Augustin, T. and Strobl, C.},
	editor = {McArdle, J. and Ritschard, G.},
	year = {2013},
	doi = {10.5282/ubm/epub.11933},
	note = {Section: 3},
	pages = {75--95},
}

Data Mining. Strobl, C. In Little, T., editor(s), The Oxford Handbook on Quantitative Methods, pages 678–700. Oxford University Press USA, New York, 2013. Section: 29
link bibtex

@incollection{strobl_data_2013,
	address = {New York},
	title = {Data {Mining}},
	booktitle = {The {Oxford} {Handbook} on {Quantitative} {Methods}},
	publisher = {Oxford University Press USA},
	author = {Strobl, C.},
	editor = {Little, T.},
	year = {2013},
	note = {Section: 29},
	pages = {678--700},
}

Rasch-Analyse des Freiburger Fragebogens zur Achtsamkeit. Sauer, S.; Strobl, C.; Walach, H.; and Kohls, N. Diagnostica, 59(2): 86–99. 2013.
doi link bibtex

@article{sauer_rasch-analyse_2013,
	title = {Rasch-{Analyse} des {Freiburger} {Fragebogens} zur {Achtsamkeit}},
	volume = {59},
	doi = {10.1026/0012-1924/a000084},
	number = {2},
	journal = {Diagnostica},
	author = {Sauer, Sebastian and Strobl, Carolin and Walach, Harald and Kohls, Niko},
	year = {2013},
	pages = {86--99},
}

An AUC-based Permutation Variable Importance Measure for Random Forests. Janitza, S.; Strobl, C.; and Boulesteix, A. BMC Bioinformatics, 14(119). 2013.
doi link bibtex

@article{janitza_auc-based_2013,
	title = {An {AUC}-based {Permutation} {Variable} {Importance} {Measure} for {Random} {Forests}},
	volume = {14},
	doi = {10.1186/1471-2105-14-119},
	number = {119},
	journal = {BMC Bioinformatics},
	author = {Janitza, Silke and Strobl, Carolin and Boulesteix, Anne-Laure},
	year = {2013},
}

2012 (4)

Das Rasch-Modell - Eine verständliche Einführung für Studium und Praxis. Strobl, C. Rainer Hampp Verlag, München, Mering, 2. erweiterte Auflage edition, 2012.
link bibtex

@book{strobl_rasch-modell_2012,
	address = {München, Mering},
	edition = {2. erweiterte Auflage},
	title = {Das {Rasch}-{Modell} - {Eine} verständliche {Einführung} für {Studium} und {Praxis}},
	publisher = {Rainer Hampp Verlag},
	author = {Strobl, C.},
	year = {2012},
}

Flexible Rasch Mixture Models with Package psychomix. Frick, H.; Strobl, C.; Leisch, F.; and Zeileis, A. Journal of Statistical Software, 48(7): 1–25. 2012.
doi link bibtex

@article{frick_flexible_2012,
	title = {Flexible {Rasch} {Mixture} {Models} with {Package} psychomix},
	volume = {48},
	doi = {10.18637/jss.v048.i07},
	number = {7},
	journal = {Journal of Statistical Software},
	author = {Frick, Hannah and Strobl, Carolin and Leisch, Friedrich and Zeileis, Achim},
	year = {2012},
	pages = {1--25},
}

Random Forest Gini Importance Favours SNPs with Large Minor Allele Frequency: Impact, Sources and Recommendations. Boulesteix, A.; Bender, A.; Bermejo, J. L.; and Strobl, C. Briefings in Bioinformatics, 13(3): 292–304. 2012.
doi link bibtex

@article{boulesteix_random_2012,
	title = {Random {Forest} {Gini} {Importance} {Favours} {SNPs} with {Large} {Minor} {Allele} {Frequency}: {Impact}, {Sources} and {Recommendations}},
	volume = {13},
	doi = {10.5282/ubm/epub.12224},
	number = {3},
	journal = {Briefings in Bioinformatics},
	author = {Boulesteix, A.-L. and Bender, A. and Bermejo, J. Lorenzo and Strobl, C.},
	year = {2012},
	pages = {292--304},
}

Psychoco: Psychometric Computing in R. Wickelmaier, F.; Strobl, C.; and Zeileis, A. Journal of Statistical Software, 48(7): 1–5. 2012.
doi link bibtex

@article{wickelmaier_psychoco_2012,
	title = {Psychoco: {Psychometric} {Computing} in {R}},
	volume = {48},
	doi = {10.18637/jss.v048.i01},
	number = {7},
	journal = {Journal of Statistical Software},
	author = {Wickelmaier, Florian and Strobl, Carolin and Zeileis, Achim},
	year = {2012},
	pages = {1--5},
}

2011 (3)

Contributions to Psychometric Computing and Machine Learning. Strobl, C. Ph.D. Thesis, Department of Statistics, Ludwig-Maximilians-Universität München, Germany, 2011.
link bibtex

@phdthesis{strobl_contributions_2011,
	type = {Habilitation {Thesis} in {Statistics}},
	title = {Contributions to {Psychometric} {Computing} and {Machine} {Learning}},
	school = {Department of Statistics, Ludwig-Maximilians-Universität München, Germany},
	author = {Strobl, C.},
	year = {2011},
}

Using the raschtree function for detecting differential item functioning in the Rasch model. Strobl, C.; Kopf, J.; and Zeileis, A. 2011.
link bibtex

@book{strobl_using_2011,
	title = {Using the raschtree function for detecting differential item functioning in the {Rasch} model},
	author = {Strobl, Carolin and Kopf, Julia and Zeileis, Achim},
	year = {2011},
}

Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning. Strobl, C.; Wickelmaier, F.; and Zeileis, A. Journal of Educational and Behavioral Statistics, 36(2): 135–153. 2011.
doi link bibtex

@article{strobl_accounting_2011,
	title = {Accounting for {Individual} {Differences} in {Bradley}-{Terry} {Models} by {Means} of {Recursive} {Partitioning}},
	volume = {36},
	doi = {10.5282/ubm/epub.10588},
	number = {2},
	journal = {Journal of Educational and Behavioral Statistics},
	author = {Strobl, C. and Wickelmaier, F. and Zeileis, A.},
	year = {2011},
	pages = {135--153},
}

2010 (5)

Random Forests with Missing Values in the Covariates. Rieger, A.; Hothorn, T.; and Strobl, C. Technical Report 79, Department of Statistics, Ludwig-Maximilians-Universität München, Germany, 2010.
doi link bibtex

@techreport{rieger_random_2010,
	type = {Technical {Report}},
	title = {Random {Forests} with {Missing} {Values} in the {Covariates}},
	number = {79},
	institution = {Department of Statistics, Ludwig-Maximilians-Universität München, Germany},
	author = {Rieger, A. and Hothorn, T. and Strobl, C.},
	year = {2010},
	doi = {10.5282/ubm/epub.11481},
}

Wissen Frauen weniger oder nur das Falsche? – Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben. Strobl, C.; Kopf, J.; and Zeileis, A. In Trepte, S.; and Verbeet, M., editor(s), Allgemeinbildung in Deutschland – Erkenntnisse aus dem SPIEGEL Studentenpisa-Test, pages 255–272. VS Verlag, Wiesbaden, 2010.
doi link bibtex

@incollection{strobl_wissen_2010,
	address = {Wiesbaden},
	title = {Wissen {Frauen} weniger oder nur das {Falsche}? – {Ein} statistisches {Modell} für unterschiedliche {Aufgaben}-{Schwierigkeiten} in {Teilstichproben}},
	booktitle = {Allgemeinbildung in {Deutschland} – {Erkenntnisse} aus dem {SPIEGEL} {Studentenpisa}-{Test}},
	publisher = {VS Verlag},
	author = {Strobl, C. and Kopf, J. and Zeileis, A.},
	editor = {Trepte, S. and Verbeet, M.},
	year = {2010},
	doi = {10.1007/978-3-531-92543-1_17},
	pages = {255--272},
}

Advances in Social Science Research Using R (Book Review). Strobl, C. Journal of Statistical Software, 34(2): 1–2. 2010.
doi link bibtex

@article{strobl_advances_2010,
	title = {Advances in {Social} {Science} {Research} {Using} {R} ({Book} {Review})},
	volume = {34},
	doi = {10.18637/jss.v034.b02},
	number = {2},
	journal = {Journal of Statistical Software},
	author = {Strobl, C.},
	year = {2010},
	pages = {1--2},
}

Das Rasch-Modell - Eine verständliche Einführung für Studium und Praxis. Strobl, C. Rainer Hampp Verlag, München, Mering, 2010.
link bibtex

@book{strobl_rasch-modell_2010,
	address = {München, Mering},
	title = {Das {Rasch}-{Modell} - {Eine} verständliche {Einführung} für {Studium} und {Praxis}},
	publisher = {Rainer Hampp Verlag},
	author = {Strobl, C.},
	year = {2010},
}

The Behaviour of Random Forest Permutation-Based Variable Importance Measures under Predictor Correlation. Nicodemus, K.; Malley, J.; Strobl, C.; and Ziegler, A. BMC Bioinformatics, 11(110): 1471–2105. 2010.
doi link bibtex

@article{nicodemus_behaviour_2010,
	title = {The {Behaviour} of {Random} {Forest} {Permutation}-{Based} {Variable} {Importance} {Measures} under {Predictor} {Correlation}},
	volume = {11},
	doi = {10.1186/1471-2105-11-110},
	number = {110},
	journal = {BMC Bioinformatics},
	author = {Nicodemus, K. and Malley, J. and Strobl, C. and Ziegler, A.},
	year = {2010},
	pages = {1471--2105},
}

2009 (6)

Measurement and Predictors of a Negative Attitude towards Statistics among LMU Students. Strobl, C.; Dittrich, C.; Seiler, C.; Hackensperger, S.; and Leisch, F. In Kneib, T.; and Tutz, G., editor(s), Statistical Modelling and Regression Structures, pages 217–230. Springer, Berlin, 2009.
link bibtex

@incollection{strobl_measurement_2009,
	address = {Berlin},
	title = {Measurement and {Predictors} of a {Negative} {Attitude} towards {Statistics} among {LMU} {Students}},
	booktitle = {Statistical {Modelling} and {Regression} {Structures}},
	publisher = {Springer},
	author = {Strobl, C. and Dittrich, C. and Seiler, C. and Hackensperger, S. and Leisch, F.},
	editor = {Kneib, T. and Tutz, G.},
	year = {2009},
	pages = {217--230},
}

Generalisierte lineare Modelle. Tutz, G.; and Strobl, C. In Holling, H.; and Schmitz, B., editor(s), Handbuch der Psychologie, Band 13: Handbuch Statistik, Methoden und Evaluation, pages 461–472. Hogrefe, Göttingen, 2009.
link bibtex

@incollection{tutz_generalisierte_2009,
	address = {Göttingen},
	title = {Generalisierte lineare {Modelle}},
	booktitle = {Handbuch der {Psychologie}, {Band} 13: {Handbuch} {Statistik}, {Methoden} und {Evaluation}},
	publisher = {Hogrefe},
	author = {Tutz, G. and Strobl, C.},
	editor = {Holling, H. and Schmitz, B.},
	year = {2009},
	pages = {461--472},
}

Optimal Classifier Selection and Negative Bias in Error Rate Estimation: An Empirical Study on High-Dimensional Prediction. Boulesteix, A.; and Strobl, C. BMC Medical Research Methodology, 9(85): 1471–2288. 2009.
doi link bibtex

@article{boulesteix_optimal_2009,
	title = {Optimal {Classifier} {Selection} and {Negative} {Bias} in {Error} {Rate} {Estimation}: {An} {Empirical} {Study} on {High}-{Dimensional} {Prediction}},
	volume = {9},
	doi = {10.1186/1471-2288-9-85},
	number = {85},
	journal = {BMC Medical Research Methodology},
	author = {Boulesteix, A.-L. and Strobl, C.},
	year = {2009},
	pages = {1471--2288},
}

Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package. Strobl, C.; Hothorn, T.; and Zeileis, A. The R Journal, 1(2): 14–17. 2009.

Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package [pdf]

Paper link bibtex

@article{strobl_party_2009,
	title = {Party on! {A} {New}, {Conditional} {Variable} {Importance} {Measure} for {Random} {Forests} {Available} in the party {Package}},
	volume = {1},
	url = {http://journal.r-project.org/archive/2009-2/RJournal_2009-2_Strobl et al.pdf},
	number = {2},
	journal = {The R Journal},
	author = {Strobl, C. and Hothorn, T. and Zeileis, A.},
	year = {2009},
	pages = {14--17},
}

An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests. Strobl, C.; Malley, J.; and Tutz, G. Psychological Methods, 14(4): 323–348. 2009.
doi link bibtex

@article{strobl_introduction_2009,
	title = {An {Introduction} to {Recursive} {Partitioning}: {Rationale}, {Application} and {Characteristics} of {Classification} and {Regression} {Trees}, {Bagging} and {Random} {Forests}},
	volume = {14},
	doi = {10.5282/ubm/epub.10589},
	number = {4},
	journal = {Psychological Methods},
	author = {Strobl, C. and Malley, J. and Tutz, G.},
	year = {2009},
	pages = {323--348},
}

Adaptive Selection of Extra Cutpoints – An Approach Towards Reconciling Robustness and Interpretability in Classification Trees. Strobl, C.; and Augustin, T. Journal of Statistical Theory and Practice, 3(1): 119–135. 2009.
doi link bibtex

@article{strobl_adaptive_2009,
	title = {Adaptive {Selection} of {Extra} {Cutpoints} – {An} {Approach} {Towards} {Reconciling} {Robustness} and {Interpretability} in {Classification} {Trees}},
	volume = {3},
	doi = {10.1080/15598608.2009.10411915},
	number = {1},
	journal = {Journal of Statistical Theory and Practice},
	author = {Strobl, C. and Augustin, T.},
	year = {2009},
	pages = {119--135},
}

2008 (5)

Statistical Issues in Machine Learning – Towards Reliable Split Selection and Variable Importance Measures. Strobl, C. Ph.D. Thesis, Department of Statistics, Ludwig-Maximilians-Universität München, Germany, 2008.
link bibtex

@phdthesis{strobl_statistical_2008,
	type = {Dissertation {Thesis} in {Statistics}},
	title = {Statistical {Issues} in {Machine} {Learning} – {Towards} {Reliable} {Split} {Selection} and {Variable} {Importance} {Measures}},
	school = {Department of Statistics, Ludwig-Maximilians-Universität München, Germany},
	author = {Strobl, C.},
	year = {2008},
}

Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance. Strobl, C.; and Zeileis, A. In Brito, P., editor(s), Proceedings of the 18th International Conference on Computational Statistics, Porto, Portugal (CD-ROM), pages 59–66, Heidelberg, 2008. Springer
doi link bibtex

@inproceedings{strobl_danger_2008,
	address = {Heidelberg},
	title = {Danger: {High} {Power}! – {Exploring} the {Statistical} {Properties} of a {Test} for {Random} {Forest} {Variable} {Importance}},
	doi = {10.5282/ubm/epub.2111},
	booktitle = {Proceedings of the 18th {International} {Conference} on {Computational} {Statistics}, {Porto}, {Portugal} ({CD}-{ROM})},
	publisher = {Springer},
	author = {Strobl, C. and Zeileis, A.},
	editor = {Brito, P.},
	year = {2008},
	pages = {59--66},
}

Evaluating Microarray-Based Classifiers: An Overview. Boulesteix, A.; Strobl, C.; Augustin, T.; and Daumer, M. Cancer Informatics, 6: 77–97. 2008.

Evaluating Microarray-Based Classifiers: An Overview [link]

Paper link bibtex

@article{boulesteix_evaluating_2008,
	title = {Evaluating {Microarray}-{Based} {Classifiers}: {An} {Overview}},
	volume = {6},
	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2623308/},
	journal = {Cancer Informatics},
	author = {Boulesteix, A.-L. and Strobl, C. and Augustin, T. and Daumer, M.},
	year = {2008},
	pages = {77--97},
}

Conditional Variable Importance for Random Forests. Strobl, C.; Boulesteix, A.; Kneib, T.; Augustin, T.; and Zeileis, A. BMC Bioinformatics, 9(307): 1471–2105. 2008.
doi link bibtex

@article{strobl_conditional_2008,
	title = {Conditional {Variable} {Importance} for {Random} {Forests}},
	volume = {9},
	doi = {10.1186/1471-2105-9-307},
	number = {307},
	journal = {BMC Bioinformatics},
	author = {Strobl, C. and Boulesteix, A.-L. and Kneib, T. and Augustin, T. and Zeileis, A.},
	year = {2008},
	pages = {1471--2105},
}

Analysis of the Individual and Aggregate Genetic Contributions of Previously Identified SPINK5 , KLK7 and FLG Polymorphisms to Eczema Risk. Strobl, C.; Weidinger, S.; Baurecht, H.; Wagenpfeil, S.; Henderson, J.; Novak, N.; Sandilands, A.; Chen, H.; Rodriguez, E.; O'Regan, G.; Watson, R.; Liao, H.; Zhao, Y.; Barker, J.; Allen, M.; Reynolds, N.; Meggit, S.; Northstone, K.; and Smith, G. The Journal of Allergy and Clinical Immunology, 122(3): 560–568. 2008.
doi link bibtex

@article{strobl_analysis_2008,
	title = {Analysis of the {Individual} and {Aggregate} {Genetic} {Contributions} of {Previously} {Identified} {SPINK5} , {KLK7} and {FLG} {Polymorphisms} to {Eczema} {Risk}},
	volume = {122},
	doi = {10.1016/j.jaci.2008.05.050},
	number = {3},
	journal = {The Journal of Allergy and Clinical Immunology},
	author = {Strobl, C. and Weidinger, S. and Baurecht, H. and Wagenpfeil, S. and Henderson, J. and Novak, N. and Sandilands, A. and Chen, H. and Rodriguez, E. and O'Regan, G. and Watson, R. and Liao, H. and Zhao, Y. and Barker, J. and Allen, M. and Reynolds, N. and Meggit, S. and Northstone, K. and Smith, G.},
	year = {2008},
	pages = {560--568},
}

2007 (4)

Unbiased Split Selection for Classification Trees Based on the Gini Index. Strobl, C.; Boulesteix, A.; and Augustin, T. Computational Statistics & Data Analysis, 52(1): 483–501. 2007.
doi link bibtex

@article{strobl_unbiased_2007,
	title = {Unbiased {Split} {Selection} for {Classification} {Trees} {Based} on the {Gini} {Index}},
	volume = {52},
	doi = {10.1016/j.csda.2006.12.030},
	number = {1},
	journal = {Computational Statistics \& Data Analysis},
	author = {Strobl, C. and Boulesteix, A.-L. and Augustin, T.},
	year = {2007},
	pages = {483--501},
}

Maximally Selected Chi-Square Statistics and Non-Monotonic Associations: An Exact Approach Based on Two Cutpoints. Boulesteix, A.; and Strobl, C. Computational Statistics & Data Analysis, 51(12): 6295–6306. 2007.
doi link bibtex

@article{boulesteix_maximally_2007,
	title = {Maximally {Selected} {Chi}-{Square} {Statistics} and {Non}-{Monotonic} {Associations}: {An} {Exact} {Approach} {Based} on {Two} {Cutpoints}},
	volume = {51},
	doi = {10.1016/j.csda.2007.01.017},
	number = {12},
	journal = {Computational Statistics \& Data Analysis},
	author = {Boulesteix, A.-L. and Strobl, C.},
	year = {2007},
	pages = {6295--6306},
}

Bias in random forest variable importance measures: Illustrations, sources and a solution. Strobl, C.; Boulesteix, A.; Zeileis, A.; and Hothorn, T. BMC Bioinformatics, 8(25): 1471–2105. 2007.
doi link bibtex

@article{strobl_bias_2007,
	title = {Bias in random forest variable importance measures: {Illustrations}, sources and a solution},
	volume = {8},
	doi = {10.1186/1471-2105-8-25},
	number = {25},
	journal = {BMC Bioinformatics},
	author = {Strobl, C. and Boulesteix, A.-L. and Zeileis, A. and Hothorn, T.},
	year = {2007},
	pages = {1471--2105},
}

Multiple Testing for SNP-SNP Interactions. Boulesteix, A.; Strobl, C.; Weidinger, S.; Wichmann, H. E.; and Wagenpfeil, S. Statistical Applications in Genetics and Molecular Biology, 6(1): 37. 2007.
doi link bibtex

@article{boulesteix_multiple_2007,
	title = {Multiple {Testing} for {SNP}-{SNP} {Interactions}},
	volume = {6},
	doi = {10.2202/1544-6115.1315},
	number = {1},
	journal = {Statistical Applications in Genetics and Molecular Biology},
	author = {Boulesteix, A.-L. and Strobl, C. and Weidinger, S. and Wichmann, H. E. and Wagenpfeil, S.},
	year = {2007},
	pages = {37},
}

2006 (1)

Interactive Statistics for the Behavioral Sciences (Book Review). Augustin, T.; and Strobl, C. Biometrics, 62: 625–626. 2006.
doi link bibtex

@article{augustin_interactive_2006,
	title = {Interactive {Statistics} for the {Behavioral} {Sciences} ({Book} {Review})},
	volume = {62},
	doi = {10.1111/j.1541-0420.2006.00589_1.x},
	journal = {Biometrics},
	author = {Augustin, T. and Strobl, C.},
	year = {2006},
	pages = {625--626},
}

2005 (2)

Statistical Sources of Variable Selection Bias in Classification Trees Based on the Gini Index. Strobl, C. Technical Report 420, Department of Statistics, Ludwig-Maximilians-Universität München, Germany, 2005.
doi link bibtex

@techreport{strobl_statistical_2005,
	type = {{SFB386}-{Discussion} {Paper}},
	title = {Statistical {Sources} of {Variable} {Selection} {Bias} in {Classification} {Trees} {Based} on the {Gini} {Index}},
	number = {420},
	institution = {Department of Statistics, Ludwig-Maximilians-Universität München, Germany},
	author = {Strobl, C.},
	year = {2005},
	doi = {10.5282/ubm/epub.1789},
}

Variable Selection in Classification Trees Based on Imprecise Probabilities. Strobl, C. In Cozman, F.; Nau, R.; and Seidenfeld, T., editor(s), Proceedings of the Fourth International Symposium on Imprecise Probabilities and Their Applications, Pittsburgh, 2005.

Variable Selection in Classification Trees Based on Imprecise Probabilities [link]

Paper link bibtex

@inproceedings{strobl_variable_2005,
	address = {Pittsburgh},
	title = {Variable {Selection} in {Classification} {Trees} {Based} on {Imprecise} {Probabilities}},
	url = {http://www.sipta.org/isipta05/proceedings},
	booktitle = {Proceedings of the {Fourth} {International} {Symposium} on {Imprecise} {Probabilities} and {Their} {Applications}},
	author = {Strobl, C.},
	editor = {Cozman, F. and Nau, R. and Seidenfeld, T.},
	year = {2005},
}

2004 (1)

Variable Selection Bias in Classification Trees. Strobl, C. Ph.D. Thesis, Department of Statistics, Ludwig-Maximilians-Universität München, Germany, 2004.
link bibtex

@phdthesis{strobl_variable_2004,
	type = {Master's {Thesis} in {Statistics}},
	title = {Variable {Selection} {Bias} in {Classification} {Trees}},
	school = {Department of Statistics, Ludwig-Maximilians-Universität München, Germany},
	author = {Strobl, C.},
	year = {2004},
}

2002 (1)

Experimental Study on the Relationship between Perceived Binocular Direction and Distance. Strobl, C. Ph.D. Thesis, Department of Psychology, Universität Regensburg, Germany, 2002.
link bibtex

@phdthesis{strobl_experimental_2002,
	type = {Diploma {Thesis} in {Psychology}},
	title = {Experimental {Study} on the {Relationship} between {Perceived} {Binocular} {Direction} and {Distance}},
	school = {Department of Psychology, Universität Regensburg, Germany},
	author = {Strobl, C.},
	year = {2002},
}

undefined (5)

stablelearner: A Toolkit for Stability Assessment of Tree-Based Learners. Philipp, M.; Strobl, C.; Zeilei, A.; Rusch, T.; and Hornik, K. .

stablelearner: A Toolkit for Stability Assessment of Tree-Based Learners [link]

Paper link bibtex 1 download

@book{philipp_stablelearner_nodate,
	title = {stablelearner: {A} {Toolkit} for {Stability} {Assessment} of {Tree}-{Based} {Learners}},
	url = {https://CRAN.R-project.org/package=stablelearner},
	author = {Philipp, Michel and Strobl, Carolin and Zeilei, Achim and Rusch, Thomas and Hornik, Kurt},
}

party: A Laboratory for Recursive Part(y)itioning. Hothorn, T.; Hornik, K.; Strobl, C.; and Zeileis, A. .

party: A Laboratory for Recursive Part(y)itioning [link]

Paper link bibtex

@book{hothorn_party_nodate,
	title = {party: {A} {Laboratory} for {Recursive} {Part}(y)itioning},
	url = {http://CRAN.R-project.org/package=party},
	author = {Hothorn, T. and Hornik, K. and Strobl, C. and Zeileis, A.},
}

psychotree: Recursive Partitioning Based on Psychometric Models. Zeileis, A.; Strobl, C.; Wickelmaier, F.; and Kopf, J. .

psychotree: Recursive Partitioning Based on Psychometric Models [link]

Paper link bibtex 1 download

@book{zeileis_psychotree_nodate,
	title = {psychotree: {Recursive} {Partitioning} {Based} on {Psychometric} {Models}},
	url = {http://CRAN.R-project.org/package=psychotree},
	author = {Zeileis, A. and Strobl, C. and Wickelmaier, F. and Kopf, J.},
}

psychotools: Infrastructure for Psychometric Modeling. Zeileis, A.; Strobl, C.; Wickelmaier, F.; Komboz, B.; Kopf, J.; Schneider, L.; and Debelak, R. .

psychotools: Infrastructure for Psychometric Modeling [link]

Paper link bibtex

@book{zeileis_psychotools_nodate,
	title = {psychotools: {Infrastructure} for {Psychometric} {Modeling}},
	url = {http://CRAN.R-project.org/package=psychotools},
	author = {Zeileis, A. and Strobl, C. and Wickelmaier, F. and Komboz, B. and Kopf, J. and Schneider, L. and Debelak, R.},
}

psychomix: Psychometric Mixture Models. Frick, H.; Strobl, C.; Leisch, F.; and Zeileis, A. .

psychomix: Psychometric Mixture Models [link]

Paper link bibtex

@book{frick_psychomix_nodate,
	title = {psychomix: {Psychometric} {Mixture} {Models}},
	url = {http://CRAN.R-project.org/package=psychomix},
	author = {Frick, H. and Strobl, C. and Leisch, F. and Zeileis, A.},
}