Anne‐Laure Boulesteix

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All published works

Action	Title	Year	Authors
+	To Tweak or Not to Tweak. How Exploiting Flexibilities in Gene Set Analysis Leads to Overoptimism	2024	Milena Wünsch Christina Sauer Moritz Herrmann Ludwig Christian Hinske Anne‐Laure Boulesteix
+ PDF Chat	Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications	2024	Christina Sauer Anne‐Laure Boulesteix Luzia Hanßum Farina Hodiamont Claudia Bausewein Theresa Ullmann
+	Understanding overfitting in random forest for probability estimation: a visualization and simulation study	2024	Lasai Barreñada Paula Dhiman D. Timmerman Anne‐Laure Boulesteix Ben Van Calster
+ PDF Chat	Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study	2024	Hannah Schulz-Kümpel Sebastian Fischer Thomas Nagler Anne‐Laure Boulesteix Bernd Bischl Roman Hornung
+ PDF Chat	On the handling of method failure in comparison studies	2024	Milena Wünsch Moritz Herrmann Elisa Noltenius Matthias Mohr Tim P. Morris Anne‐Laure Boulesteix
+ PDF Chat	Addressing researcher degrees of freedom through minP adjustment	2024	Maximilian M. Mandl Andrea Becker-Pennrich Ludwig Christian Hinske Sabine Hoffmann Anne‐Laure Boulesteix
+	Data-Driven Simulations to Assess the Impact of Study Imperfections in Time-to-Event Analyses	2024	Michał Abrahamowicz Marie‐Eve Beauchamp Anne‐Laure Boulesteix Tim P. Morris Willi Sauerbrei Jay S. Kaufman on behalf of the STRATOS Simulation Panel
+ PDF Chat	Position Paper: Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation	2024	Moritz Herrmann F. Julian D. Lange Katharina Eggensperger Giuseppe Casalicchio Marcel Wever Matthias Feurer David Rügamer Eyke Hüllermeier Anne‐Laure Boulesteix Bernd Bischl
+ PDF Chat	To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism	2024	Milena Wünsch Christina Sauer Moritz Herrmann Ludwig Christian Hinske Anne‐Laure Boulesteix
+ PDF Chat	A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study	2024	Zoë S Dunias Ben Van Calster D. Timmerman Anne‐Laure Boulesteix Maarten van Smeden
+	Addressing researcher degrees of freedom through minP adjustment	2024	Maximilian M Mandl Andrea Becker-Pennrich Ludwig Christian Hinske Sabine Hoffmann Anne‐Laure Boulesteix
+ PDF Chat	A white paper on good research practices in benchmarking: The case of cluster analysis	2023	Iven Van Mechelen Anne‐Laure Boulesteix Rainer Dangl Nema Dean Christian Hennig Friedrich Leisch Douglas Steinley Matthijs J. Warrens
+ PDF Chat	Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study	2023	Roman Hornung Frederik Ludwigs Jonas Hagenberg Anne‐Laure Boulesteix
+ PDF Chat	Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment	2023	Christina Nießl Sabine Hoffmann Theresa Ullmann Anne‐Laure Boulesteix
+ PDF Chat	Phases of methodological research in biostatistics—Building the evidence base for new methods	2023	Georg Heinze Anne‐Laure Boulesteix Michael Kammer Tim P. Morris Ian R. White
+ PDF Chat	Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges	2023	Bernd Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter Stefan Coors Janek Thomas Theresa Ullmann Marc Becker Anne‐Laure Boulesteix
+	Improving Software Engineering in Biostatistics: Challenges and Opportunities	2023	Daniel Sabanés Bové Heidi Seibold Anne‐Laure Boulesteix Juliane Manitz Alessandro Gasparini Burak K. Guünhan Oliver Boix Armin Schuüler Sven Fillinger Sven Nahnsen
+	Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study	2023	Roman Hornung Frederik Ludwigs Jonas Hagenberg Anne‐Laure Boulesteix
+	From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis	2023	Milena Wünsch Christina Sauer Patrick Callahan Ludwig Christian Hinske Anne‐Laure Boulesteix
+	Evaluating machine learning models in non-standard settings: An overview and new findings	2023	Roman Hornung Malte Nalenz Lennart Schneider Andreas Bender Ludwig Bothmann Bernd Bischl Thomas Augustin Anne‐Laure Boulesteix
+ PDF Chat	Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research – a multi-stakeholder workshop report	2022	Natascha Drude Lorena Martinez‐Gamboa Meggie Danziger Anja Collazo Silke Kniffert Janine Wiebach Gustav Nilsonne Frank Konietschke Sophie K. Piper Samuel Pawel
+ PDF Chat	Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research – a multi-stakeholder workshop report	2022	Natascha Drude Lorena Martinez‐Gamboa Meggie Danziger Anja Collazo Silke Kniffert Janine Wiebach Gustav Nilsonne Frank Konietschke Sophie K. Piper Samuel Pawel
+	To adjust or not to adjust: It is not the tests you perform that count, but how you report them	2022	Anne‐Laure Boulesteix Sabine Hoffmann
+	Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment	2022	Christina Nießl Sabine Hoffmann Theresa Ullmann Anne‐Laure Boulesteix
+	Phases of methodological research in biostatistics - building the evidence base for new methods	2022	Georg Heinze Anne‐Laure Boulesteix Michael N. Kammer Tim P. Morris Ian R. White
+ PDF Chat	Validation of cluster analysis results on validation data: A systematic framework	2021	Theresa Ullmann Christian Hennig Anne‐Laure Boulesteix
+ PDF Chat	Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results	2021	Christina Nießl Moritz Herrmann Chiara Wiedemann Giuseppe Casalicchio Anne‐Laure Boulesteix
+	PH-0165 Differentiation of Pseudoprogression vs. True Progressive Disease using Contrast Clearance Analysis	2021	Raphael Bodensohn Robert Forbrig Stefanie Lietke J Reis Anne‐Laure Boulesteix Ulrich Mansmann Indrawati Hadi Daniel F. Fleischmann K.H.J. von Henning-Yoo J. Mücke
+	Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges	2021	Bernd Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter Stefan Coors Janek Thomas Theresa Ullmann Marc Becker Anne‐Laure Boulesteix
+	Validation of cluster analysis results on validation data: A systematic framework	2021	Theresa Ullmann Christian Hennig Anne‐Laure Boulesteix
+ PDF Chat	Introduction to statistical simulations in health research	2020	Anne‐Laure Boulesteix Rolf H. H. Groenwold Michał Abrahamowicz Harald Binder Matthias Briel Roman Hornung Tim P. Morris Jörg Rahnenführer Willi Sauerbrei
+ PDF Chat	Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework	2020	Simon Klau Sabine Hoffmann Chirag J. Patel John P. A. Ioannidis Anne‐Laure Boulesteix
+ PDF Chat	Large-scale benchmark study of survival prediction methods using multi-omics data	2020	Moritz Herrmann Philipp Probst Roman Hornung Vindi Jurinović Anne‐Laure Boulesteix
+	On the asymptotic behaviour of the variance estimator of a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e208" altimg="si7.svg"><mml:mi>U</mml:mi></mml:math>-statistic	2020	Mathias Fuchs Roman Hornung Anne‐Laure Boulesteix Riccardo De Bin
+	Modelling Individual Response to Treatment and Its Uncertainty:A Review of Statistical Methods and Challenges for Future Research	2020	Ulrich Mansmann Anne‐Laure Boulesteix
+ PDF Chat	Combining clinical and molecular data in regression prediction models: insights from a simulation study	2019	Riccardo De Bin Anne‐Laure Boulesteix Axel Benner Natália Becker Willi Sauerbrei
+ PDF Chat	Essential guidelines for computational method benchmarking	2019	Lukas M. Weber Wouter Saelens Robrecht Cannoodt Charlotte Soneson Alexander Hapfelmeier Paul P. Gardner Anne‐Laure Boulesteix Yvan Saeys Mark D. Robinson
+	Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection	2019	Simon Klau Marie‐Laure Martin‐Magniette Anne‐Laure Boulesteix Sabine Hoffmann
+ PDF Chat	Hyperparameters and tuning strategies for random forest	2019	Philipp Probst Marvin Wright Anne‐Laure Boulesteix
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2019	Philipp Probst Anne‐Laure Boulesteix Bernd Bischl
+	Essential guidelines for computational method benchmarking	2018	Lukas M. Weber Wouter Saelens Robrecht Cannoodt Charlotte Soneson Alexander Hapfelmeier Paul P. Gardner Anne‐Laure Boulesteix Yvan Saeys Mark D. Robinson
+	Benchmarking in cluster analysis: A white paper	2018	Iven Van Mechelen Anne‐Laure Boulesteix Rainer Dangl Nema Dean Isabelle Guyon Christian Hennig Friedrich Leisch Douglas Steinley
+	Tunability: Importance of Hyperparameters of Machine Learning Algorithms	2018	Philipp Probst Bernd Bischl Anne‐Laure Boulesteix
+	Essential guidelines for computational method benchmarking	2018	Lukas M. Weber Wouter Saelens Robrecht Cannoodt Charlotte Soneson Alexander Hapfelmeier Paul P. Gardner Anne‐Laure Boulesteix Yvan Saeys Mark D. Robinson
+ PDF Chat	On the necessity and design of studies comparing statistical methods	2017	Anne‐Laure Boulesteix Harald Binder Michał Abrahamowicz Willi Sauerbrei
+ PDF Chat	Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies	2017	Anne‐Laure Boulesteix Rory Wilson Alexander Hapfelmeier
+ PDF Chat	Detection of influential points as a byproduct of resampling-based variable selection procedures	2017	Riccardo De Bin Anne‐Laure Boulesteix Willi Sauerbrei
+	To tune or not to tune the number of trees in random forest	2017	Philipp Probst Anne‐Laure Boulesteix
+	To tune or not to tune the number of trees in random forest?	2017	Philipp Probst Anne‐Laure Boulesteix
+ PDF Chat	Erratum to: Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation	2016	Simone Wahl Anne‐Laure Boulesteix Astrid Zierer Barbara Thorand Mark A. van de Wiel
+ PDF Chat	A computationally fast variable importance test for random forests for high-dimensional data	2016	Silke Janitza Ender Celik Anne‐Laure Boulesteix
+ PDF Chat	Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation	2016	Simone Wahl Anne‐Laure Boulesteix Astrid Zierer Barbara Thorand Mark A. van de Wiel
+ PDF Chat	A computationally fast variable importance test for random forests for high-dimensional data	2016	Silke Janitza Ender Celik Anne‐Laure Boulesteix
+	Categorical variables with many categories are preferentially selected in bootstrap‐based model selection procedures for multivariable regression models	2016	Susanne Rospleszcz Silke Janitza Anne‐Laure Boulesteix
+ PDF Chat	Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment	2016	Roman Hornung Anne‐Laure Boulesteix David Causeur
+	Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA	2016	Anne‐Laure Boulesteix
+	Random forest for ordinal responses: Prediction and variable selection	2015	Silke Janitza Gerhard Tutz Anne‐Laure Boulesteix
+ PDF Chat	Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications	2015	Silke Janitza Harald Binder Anne‐Laure Boulesteix
+ PDF Chat	Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression	2015	Riccardo De Bin Silke Janitza Willi Sauerbrei Anne‐Laure Boulesteix
+	On stability issues in deriving multivariable regression models	2014	Willi Sauerbrei Anika Buchholz Anne‐Laure Boulesteix Harald Binder
+	Random Forests for Ordinal Response Data: Prediction and Variable Selection	2014	Silke Janitza Gerhard Tutz Anne‐Laure Boulesteix
+	Categorical variables with many categories arepreferentially selected in model selection procedures for multivariable regression models on bootstrap samples	2014	Susanne Rospleszcz Silke Janitza Anne‐Laure Boulesteix
+	Machine learning versus statistical modeling	2014	Anne‐Laure Boulesteix Matthias Schmid
+	A U-statistic estimator for the variance of resampling-based error estimators	2013	Mathias Fuchs Roman Hornung Riccardo De Bin Anne‐Laure Boulesteix
+	Correcting the Optimal Resampling‐Based Error Rate by Estimating the Error Rate of Wrapper Algorithms	2013	Christoph Bernau Thomas Augustin Anne‐Laure Boulesteix
+ PDF Chat	A Plea for Neutral Comparison Studies in Computational Sciences	2013	Anne‐Laure Boulesteix Sabine Lauer Manuel J. A. Eugster
+ PDF Chat	Iterative Reconstruction of High-Dimensional Gaussian Graphical Models Based on a New Method to Estimate Partial Correlations under Constraints	2013	Vincent Guillemot Andreas Bender Anne‐Laure Boulesteix
+ PDF Chat	An AUC-based permutation variable importance measure for random forests	2013	Silke Janitza Carolin Strobl Anne‐Laure Boulesteix
+	Complexity Selection with Cross-validation for Lasso and Sparse Partial Least Squares Using High-Dimensional Data	2013	Anne‐Laure Boulesteix Adrian Richter Christoph Bernau
+	A U-statistic estimator for the variance of resampling-based error estimators	2013	Mathias Fuchs Roman Hornung Riccardo De Bin Anne‐Laure Boulesteix
+	On the Simultaneous Analysis of Clinical and Omics Data: A Comparison of Globalboosttest and Pre-validation Techniques	2013	Margret‐Ruth Oelker Anne‐Laure Boulesteix
+	iPACOSE: an iterative algorithm for the estimation of gene regulation networks	2012	Vincent Guillemot Andreas Bender Anne‐Laure Boulesteix
+ PDF Chat	Added predictive value of high-throughput molecular data to clinical data and its validation	2011	Anne‐Laure Boulesteix Willi Sauerbrei
+ PDF Chat	Over-optimism in bioinformatics research	2009	Anne‐Laure Boulesteix
+ PDF Chat	Regularized estimation of large-scale gene association networks using graphical Gaussian models	2009	Nicole Krämer Juliane Schäfer Anne‐Laure Boulesteix
+ PDF Chat	Conditional variable importance for random forests	2008	Carolin Strobl Anne‐Laure Boulesteix Thomas Kneib Thomas Augustin Achim Zeileis
+ PDF Chat	Penalized Partial Least Squares with applications to B-spline transformations and functional data	2008	Nicole Krämer Anne‐Laure Boulesteix Gerhard Tutz
+	Comments on: Augmenting the bootstrap to analyze high dimensional genomic data	2008	Anne‐Laure Boulesteix Athanassios Kondylis Nicole Krämer
+	Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints	2007	Anne‐Laure Boulesteix Carolin Strobl
+ PDF Chat	Unbiased split selection for classification trees based on the Gini Index	2006	Carolin Strobl Anne‐Laure Boulesteix Thomas Augustin
+ PDF Chat	Maximally Selected Chi‐Square Statistics and Binary Splits of Nominal Variables	2006	Anne‐Laure Boulesteix
+	Maximally Selected Chi-square Statistics for Ordinal Variables	2006	Anne‐Laure Boulesteix
+	Maximally selected chi-square statistics and umbrella orderings	2006	Anne‐Laure Boulesteix Carolin Strobl
+	Penalized Partial Least Squares Based on B-Splines Transformations	2006	Nicole Krämer Anne‐Laure Boulesteix Gerhard Tutz
+	Stochastic modeling for the COMET-assay	2003	Anne‐Laure Boulesteix Volker Hösel Volkmar Liebscher

Common Coauthors

Coauthor	Papers Together
Roman Hornung	10
Silke Janitza	9
Willi Sauerbrei	8
Sabine Hoffmann	7
Bernd Bischl	7
Theresa Ullmann	7
Riccardo De Bin	6
Moritz Herrmann	6
Philipp Probst	6
Tim P. Morris	5
Carolin Strobl	5
Ludwig Christian Hinske	5
Alexander Hapfelmeier	4
Nicole Krämer	4
Thomas Augustin	4
Christian Hennig	4
Milena Wünsch	4
Harald Binder	4
Gerhard Tutz	4
Robrecht Cannoodt	3
Christina Nießl	3
Yvan Saeys	3
Michał Abrahamowicz	3
Paul P. Gardner	3
Wouter Saelens	3
Charlotte Soneson	3
Andreas Bender	3
Lukas M. Weber	3
Rainer Spanagel	2
Irene von Lüttichau	2
D. Timmerman	2
Edgar Brunner	2
Douglas Steinley	2
Silke Kniffert	2
Georg Heinze	2
Jonas Hagenberg	2
Meggie Danziger	2
Daniel Segelcke	2
Michel Lang	2
Juliane C. Wilcke	2
Natascha Drude	2
Esther Pogatzki‐Zahn	2
Susanne Rospleszcz	2
Charlotte Micheloud	2
Florian Frommlet	2
Frank Konietschke	2
Rainer Dangl	2
Lina María Serna-Higuita	2
Marcus W. Meinhardt	2
Mark A. van de Wiel	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	13
+ PDF Chat	Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies	2017	Anne‐Laure Boulesteix Rory Wilson Alexander Hapfelmeier	13
+ PDF Chat	A Plea for Neutral Comparison Studies in Computational Sciences	2013	Anne‐Laure Boulesteix Sabine Lauer Manuel J. A. Eugster	10
+ PDF Chat	Unbiased Recursive Partitioning: A Conditional Inference Framework	2006	Torsten Hothorn Kurt Hornik Achim Zeileis	10
+ PDF Chat	On the necessity and design of studies comparing statistical methods	2017	Anne‐Laure Boulesteix Harald Binder Michał Abrahamowicz Willi Sauerbrei	9
+ PDF Chat	OpenML	2014	Joaquin Vanschoren Jan N. van Rijn Bernd Bischl Luı́s Torgo	8
+ PDF Chat	Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications	2015	Silke Janitza Harald Binder Anne‐Laure Boulesteix	8
+	False-Positive Psychology	2011	Joseph P. Simmons Leif D. Nelson Uri Simonsohn	7
+ PDF Chat	Using simulation studies to evaluate statistical methods	2019	Tim P. Morris Ian R. White Michael J. Crowther	7
+	Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples	2008	Harald Binder Martin Schumacher	6
+ PDF Chat	STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative	2014	Willi Sauerbrei Michał Abrahamowicz Douglas G. Altman Saskia le Cessie James R. Carpenter	6
+	Reproducible research in statistics: A review and guidelines for the <i>Biometrical Journal</i>	2015	Benjamin Hofner Matthias Schmid Lutz Edler	6
+	A bootstrap resampling procedure for model building: Application to the cox regression model	1992	Willi Sauerbrei Martin Schumacher	6
+	The bootstrap and identification of prognostic factors via cox's proportional hazards regression model	1985	Chen‐Hsin Chen Stephen L. George	5
+ PDF Chat	Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression	2015	Riccardo De Bin Silke Janitza Willi Sauerbrei Anne‐Laure Boulesteix	5
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2005	Margaret S. Pepe	5
+	Maximally Selected Chi-square Statistics for Ordinal Variables	2006	Anne‐Laure Boulesteix	5
+ PDF Chat	Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models	2008	Harald Binder Martin Schumacher	5
+ PDF Chat	An AUC-based permutation variable importance measure for random forests	2013	Silke Janitza Carolin Strobl Anne‐Laure Boulesteix	5
+	Maximally Selected Rank Statistics	1992	Berthold Lausen Martin Schumacher	5
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	5
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	5
+ PDF Chat	<b>ranger</b>: A Fast Implementation of Random Forests for High Dimensional Data in <i>C++</i> and <i>R</i>	2017	Marvin Wright Andreas Ziegler	5
+	On Maximally Selected Chi-Square Statistics	1991	James A. Koziol	5
+ PDF Chat	Hyperparameters and tuning strategies for random forest	2019	Philipp Probst Marvin Wright Anne‐Laure Boulesteix	5
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	5
+	A note on split selection bias in classification trees	2003	Yu‐Shan Shih	5
+	Approximating the Distribution of Maximally Selected McNemar's Statistics	2000	Daniel Rabinowitz Rebecca A. Betensky	4
+ PDF Chat	Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors	1999	Jennifer A. Hoeting David Madigan Adrian E. Raftery Chris Volinsky	4
+	Assessment of Optimal Selected Prognostic Factors	2004	Berthold Lausen Torsten Hothorn Frank Bretz Martin Schumacher	4
+	Maximally Selected x2 Statistics for kx 2 Tables	1999	Rebecca A. Betensky Daniel Rabinowitz	4
+	Maximally Selected Rank Statistics for Dose-Response Problems	2002	Berthold Lausen Rudolf Lerche Martin Schumacher	4
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	4
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2003	Margaret S. Pepe	4
+ PDF Chat	To Explain or to Predict?	2010	Galit Shmueli	4
+ PDF Chat	Boosting Algorithms: Regularization, Prediction and Model Fitting	2007	Peter Bühlmann Torsten Hothorn	4
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	4
+	Regression with Categorical Data	2011	Gerhard Tutz	4
+	Assessment and comparison of prognostic classification schemes for survival data	1999	Erika Graf Claudia Schmoor Willi Sauerbrei M. Schumacher	4
+	Evaluating the effect of optimized cutoff values in the assessment of prognostic factors	1996	Berthold Lausen Martin Schumacher	4
+	On the exact distribution of maximally selected rank statistics	2003	Torsten Hothorn Berthold Lausen	4
+	Maximally Selected Chi Square Statistics for Small Samples	1982	Jerry Halpern	4
+ PDF Chat	Covariance-Regularized Regression and Classification for high Dimensional Problems	2009	Daniela Witten Robert Tibshirani	3
+	Bootstrap Methods: A Guide for Practitioners and Researchers	2007	Michael R. Chernick	3
+ PDF Chat	Conditional variable importance for random forests	2008	Carolin Strobl Anne‐Laure Boulesteix Thomas Kneib Thomas Augustin Achim Zeileis	3
+	Overview and Recent Advances in Partial Least Squares	2006	Roman Rosipal Nicole Krämer	3
+	Weighted k-Nearest-Neighbor Techniques and Ordinal Classification	2004	Klaus Hechenbichler Klaus Schliep	3
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	3
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	3
+ PDF Chat	Unbiased split selection for classification trees based on the Gini Index	2006	Carolin Strobl Anne‐Laure Boulesteix Thomas Augustin	3