Related references
Note: Only part of the references are listed.Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies
Anne-Laure Boulesteix et al.
BMC MEDICAL RESEARCH METHODOLOGY (2017)
IPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data
Anne-Laure Boulesteix et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2017)
Subsampling versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression
Riccardo De Bin et al.
BIOMETRICS (2016)
Selecting a classification function for class prediction with gene expression data
Victor L. Jong et al.
BIOINFORMATICS (2016)
The parameter sensitivity of random forests
Barbara F. F. Huang et al.
BMC BIOINFORMATICS (2016)
Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data
David Muchlinski et al.
POLITICAL ANALYSIS (2016)
A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies
Anne-Laure Boulesteix et al.
AMERICAN STATISTICIAN (2015)
Ten Simple Rules for Reducing Overoptimistic Reporting in Methodological Computational Research
Anne-Laure Boulesteix
PLOS COMPUTATIONAL BIOLOGY (2015)
Machine learning versus statistical modeling
Anne-Laure Boulesteix et al.
BIOMETRICAL JOURNAL (2014)
A Plea for Neutral Comparison Studies in Computational Sciences
Anne-Laure Boulesteix et al.
PLOS ONE (2013)
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations
Anne-Laure Boulesteix et al.
BRIEFINGS IN BIOINFORMATICS (2012)
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation
B. Bischl et al.
EVOLUTIONARY COMPUTATION (2012)
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
Anne-Laure Boulesteix et al.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2012)
Reporting bias when using real data sets to analyze classification performance
Mohammadmahdi R. Yousefi et al.
BIOINFORMATICS (2010)
Assessing the Performance of Prediction Models A Framework for Traditional and Novel Measures
Ewout W. Steyerberg et al.
EPIDEMIOLOGY (2010)
Use of Brier score to assess binary predictions
Kaspar Rufibach
JOURNAL OF CLINICAL EPIDEMIOLOGY (2010)
Bias in random forest variable importance measures: Illustrations, sources and a solution
Carolin Strobl et al.
BMC BIOINFORMATICS (2007)
Unbiased recursive partitioning: A conditional inference framework
Torsten Hothorn et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Simple statistical models predict C-to-U edited sites in plant mitochondrial RNA
MP Cummings et al.
BMC BIOINFORMATICS (2004)
ArrayExpress - a public repository for microarray gene expression data at the EBI
A Brazma et al.
NUCLEIC ACIDS RESEARCH (2003)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
Statistical modeling: The two cultures
L Breiman
STATISTICAL SCIENCE (2001)
Share Paper
