Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment

DOI10.1002/bimj.202200238zbMATH Open1547.62385MaRDI QIDQ6625380

Christina Nießl, Theresa Ullmann, Anne-Laure Boulesteix, Sabine Hoffmann

Publication date: 28 October 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

performancebenchmarkingvalidationreproducibilityoveroptimism

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
• Reproducible research in statistics: A review and guidelines for theBiometrical Journal
• Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection
• Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches
• Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study
• Against the ``one method fits all data sets philosophy for comparison studies in methodological research
• Using simulation studies to evaluate statistical methods

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