Introduction to statistical simulations in health research
Anne‐Laure Boulesteix(Zimmer Biomet (Netherlands)), Willi Sauerbrei(University Medical Center Freiburg), Matthias Briel(University Hospital of Basel), Roman Hornung(Zimmer Biomet (Netherlands)), Michał Abrahamowicz(Centre Hospitalier de l’Université de Montréal), Jörg Rahnenführer(TU Dortmund University), Rolf H. H. Groenwold(Leiden University Medical Center), Tim P. Morris(London School of Hygiene & Tropical Medicine), Harald Binder(Zimmer Biomet (Netherlands))
Cited by 74
Related Papers
Bias in random forest variable importance measures: Illustrations, sources and a solution
|BMC Bioinformatics|2007|3.7k
Conditional variable importance for random forests
|BMC Bioinformatics|2008|3.3k
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
|BMJ|2024|2.8k
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
|Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery|2012|937
Random forest versus logistic regression: a large-scale benchmark experiment
|BMC Bioinformatics|2018|882