Abstract:
:In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-type statistics (multiple contrast tests) in high-dimensional designs (repeated measures or multivariate) with small sample sizes. A randomization-based approach is developed to approximate the distribution of the maximum statistic. Extensive simulation studies confirm that the new method is particularly suitable for analyzing data sets with small sample sizes. A real data set illustrates the application of the methods.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Konietschke F,Schwab K,Pauly Mdoi
10.1177/0962280220970228subject
Has Abstractpub_date
2020-11-24 00:00:00pages
962280220970228eissn
0962-2802issn
1477-0334pub_type
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