A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies
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DOI: 10.1080/00031305.2015.1005128
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References listed on IDEAS
- Eugster, Manuel J.A. & Leisch, Friedrich & Strobl, Carolin, 2014. "(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 986-1000.
- Lee, Jae Won & Lee, Jung Bok & Park, Mira & Song, Seuck Heun, 2005. "An extensive comparison of recent classification tools applied to microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 869-885, April.
- Anne-Laure Boulesteix & Sabine Lauer & Manuel J A Eugster, 2013. "A Plea for Neutral Comparison Studies in Computational Sciences," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-11, April.
- Dudoit S. & Fridlyand J. & Speed T. P, 2002. "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 77-87, March.
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Cited by:
- Doove, Lisa L. & Wilderjans, Tom F. & Calcagnì, Antonio & Van Mechelen, Iven, 2017. "Deriving optimal data-analytic regimes from benchmarking studies," Computational Statistics & Data Analysis, Elsevier, vol. 107(C), pages 81-91.
- Andrew Gelman & Christian Hennig, 2017. "Beyond subjective and objective in statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 967-1033, October.
- Anne-Laure Boulesteix, 2015. "Ten Simple Rules for Reducing Overoptimistic Reporting in Methodological Computational Research," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-6, April.
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