Multiple aspect testing for case-control designs

Luigi Salmaso and Aldo Solari ()

Metrika: International Journal for Theoretical and Applied Statistics, 2005, vol. 62, issue 2, 340 pages

Abstract: When testing for the equality of two distributions in a case-control design with treatment effects presumed to act possibly on more than one aspect, different tests may be properly considered for testing for different features of a null hypothesis, leading to the multiple aspect testing issue. Two different aspects are therefore of interest: the location-aspect, based on the comparison of location indexes, and the distributional-aspect, based on the comparison of the empirical distribution functions. A simulation study shows that the combined testing procedure exhibits a good robust overall performance, and an application in biomedical research is also presented. Copyright Springer-Verlag Berlin Heidelberg 2005

Keywords: Case-control design; Multi-aspect; Multiple hypotheses testing; Nonparametric combination methodology; Permutation tests (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/s00184-005-0416-x

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