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.
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Salmaso, L., Solari, A. Multiple aspect testing for case-control designs. Metrika 62, 331–340 (2005). https://doi.org/10.1007/s00184-005-0416-x
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DOI: https://doi.org/10.1007/s00184-005-0416-x