Beyond the t-Test: Statistical Equivalence Testing
نویسندگان
چکیده
منابع مشابه
A Statistical Test for Joint Distributions Equivalence
We provide a distribution-free test that can be used to determine whether any two joint distributions p and q are statistically different by inspection of a large enough set of samples. Following recent efforts from Long et al. [1], we rely on joint kernel distribution embedding to extend the kernel two-sample test of Gretton et al. [2] to the case of joint probability distributions. Our main r...
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The concept of substantial equivalence, introduced for the risk assessment of genetically modified (GM) food, is a reducing concept because it ignores the context in which these products have been produced and brought to the consumer at the end of the food chain. Food quality cannot be restricted to mere substance and food acts on human beings not only at the level of nutrition but also through...
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In this note we discuss in general how to test the implementation code of statistical tests, and then we treat in detail the case of the Kolmogorov-Smirnov test. It will be shown that some “obvious” expected properties, like the flatness distributions of p-values from repeating drawings from the same parent distribution, are not indeed reproduced even in absence of bugs in the code, due to eith...
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DISCUSSION We applied equivalence testing on step (1) of analysis of commutability experiments. Statistical inference in terms of equivalence is commonly used in guidelines of pharmaceutical industry if similarity of two or more processes within predefined limits has to be proven (e.g. (FDA 2001)). In clinical chemistry literature equivalence testing is mentioned (Lung, Gorko et al. 2003) only ...
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ژورنال
عنوان ژورنال: Analytical Chemistry
سال: 2005
ISSN: 0003-2700,1520-6882
DOI: 10.1021/ac053390m