gms | German Medical Science

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

06.09. - 09.09.2020, Berlin (online conference)

Farcical Results with Rank Procedures in Unbalanced Designs – Ranks and Pseudo-Ranks

Meeting Abstract

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  • Edgar Brunner - Universitätsmedizin Göttingen Institue of Medical Statistics, Göttingen, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS). Berlin, 06.-09.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 179

doi: 10.3205/20gmds098, urn:nbn:de:0183-20gmds0984

Published: February 26, 2021

© 2021 Brunner.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Background: If rank methods are used for d>2 samples then farcical results may be obtained in case of unequal sample sizes since the quantities pi = ∫H dFi on which rank procedures are based depend on the relative sample sizes through the definition of the weighted mean distribution function H in the experiment. This undesirable property applies to the well-known Kruskal-Wallis test [1], the trend test by Hettmansperger-Norton [2] as well as for the Akritas-Arnold-Brunner procedures [3] in factorial designs. In two-way layouts interactions may appear or disappear just by changing the ratios of the samples sizes while keeping fixed the underlying distributions. Such designs appear in the so-called sub-group analysis in clinical trials or in clinical epidemiology.

Methods: First some examples are presented and then the theoretical background of the farcical results is investigated by extending the well-known Mann-Whitney effect for two samples [4] to several samples and to factorial designs. It turns out that a nonparametric effect (a quantity not depending on relative samples sizes) could be based on comparisons of the distributions Fi for example, with the unweighted mean distribution G.

Results: The functionals ψi = ∫G dFi describe an effect of the distribution Fi relative to the mean distribution G. They can be estimated by simple plug-in estimators which can easily be computed by rank-like quantities, the so-called pseudo-ranks which have already been discussed in the literature [5]. The asymptotic distribution of these estimators and confidence intervals for ψi (see, e.g., [6] or [7]) are briefly discussed. For equal sample sizes and for two distributions ranks and pseudo-ranks are identical.

Conclusion: It is demonstrated that in case of unequal sample sizes procedures based on the nonparametric effects ψi do not have the farcical properties of rank-based procedures. An example from a register study in multiple sclerosis demonstrates the practical meaning.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

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Gao X, Alvo M. A Unified Nonparametric Approach for Unbalanced Factorial Designs. Journal of the American Statistical Association. 2005; 100: 926-941.
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Thangavelu K, Brunner E. Wilcoxon Mann-Whitney test for stratified samples and Efron's paradox dice. Journal of Statistical Planning and Inference. 2007;137:720-737.
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Brunner E, Bathke AC, Konietschke F. Rank- and Pseudo-Rank Procedures for Independent Observations in Factorial Designs. 2019. (Series in Statistics).
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Rommer PS, Eichstädt K, Ellenberger D, Flachenecker P, Friede T, Haas J, Kleinschnitz C, Pöhlau D, Rienhoff O, Stahmann A, Zettl UK. Symptomatology and symptomatic treatment in multiple sclerosis: Results from a nationwide MS registry. Multiple Sclerosis Journal. 2018: 1-12. DOI: 10.1177/1352458518799580 External link