Konietschke, FrankSchwab, KarimaPauly, Markus2021-06-302021-06-302021-03-01Konietschke, F, Schwab, K & Pauly, M 2021, 'Small sample sizes : A big data problem in high-dimensional data analysis', Statistical Methods in Medical Research, vol. 30, no. 3, pp. 687–701. https://doi.org/10.1177/09622802209702280962-2802ORCID: /0000-0001-7063-7136/work/96308213https://hdl.handle.net/2164/16756Acknowledgements The authors are grateful to the Editor, Associate Editor and three anonymous referees for their helpful suggestions, which greatly improved the manuscript. Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research is supported by the German Science Foundation awards number DFG KO 4680/3-2 and PA 2409/3-2.15417524engMultiple contrast testsmax t-testrepeated measuresresamplingsimultaneous confidence intervalsR MedicineOtherDFG KO 4680/3-2PA 2409/3-2RJournal article10.1177/0962280220970228http://dx.doi.org/10.1177/0962280220970228303