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Stochastic Environmental Research and Risk Assessment
(2015)
(2015)
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A new approach to overcome shortcomings with multiple testing of reproduction data in ecotoxicology, 2015. Stochastic Environmental Research and Risk Assessment [online]. Bd. (2015). DOI 10.60810/openumwelt-262. Verfügbar unter: https://openumwelt.de/handle/123456789/8173
Abstract english
In ecotoxicology species reproduction tests and multiple testing of reproduction data are wide spread. While normal approximation of the data is a minor problem often the requirement of variance homogeneity is not fulfilled. Variance homogeneity is necessary to assure the proper application of statistical procedures like pairwise t tests, Dunnett t test, and Williams t test. A Poisson model can solve this issue preserving meaningful results and rendering statistical analysis more reliable. Moreover, sequential application of pairwise statistical "control vs. treatmentŁ tests is a drawback concerning á-inflation. The closure principle (CP) for hypothesis testing is used to generate a step-wise approach for detection of the No/Lowest Observed Effect Concentration using the computational approach test (CAT). The advantages and disadvantages of the combined CPCAT approach compared to the widely used t tests are pointed out and results of real data and fictitious data analysis are compared revealing the superiority of the Poisson model and CPCAT.Quelle: http://link.springer.com