Carolin Strobl

Bias in random forest variable importance measures: Illustrations, sources and a solution

Carolin Strobl, Anne‐Laure Boulesteix, Achim Zeileis et al. · BMC Bioinformatics · 2007 · 3.6K citations · Full text

Computing, Bioinformatics, Biostatistics +16

Conditional variable importance for random forests

Carolin Strobl, Anne‐Laure Boulesteix, Thomas Kneib et al. · BMC Bioinformatics · 2008 · 3.2K citations · Full text

Computing, Bioinformatics, Biostatistics +10

An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

Carolin Strobl, James D. Malley, Gerhard Tutz · Psychological Methods · 2009 · 2.6K citations · Full text

Computing, Bioinformatics, Biostatistics +17

The behaviour of random forest permutation-based variable importance measures under predictor correlation

Kristin K. Nicodemus, James D. Malley, Carolin Strobl et al. · BMC Bioinformatics · 2010 · 363 citations · Full text

Life Sciences, Bioinformatics, Genetics +13

Unbiased split selection for classification trees based on the Gini Index

Carolin Strobl, Anne‐Laure Boulesteix, Thomas Augustin · Computational Statistics & Data Analysis · 2006 · 309 citations · Full text

Computing, Biostatistics, Data Mining +7