By Hans Marquardt, Siegfried G. Schäfer, Roger O. McClellan, Frank Welsch

ISBN-10: 0124732704

ISBN-13: 9780124732704

  • ''... i discovered this a truly readable and obtainable textbook , that's good laid out with transparent and priceless illustrations ... its insurance of themes now not handled in different related textbooks may still make it a necessary buy for all educational and librarians.'' — British Toxicology Society publication ''A dinner party of toxicology, this huge ebook includes fifty two chapters, as soon as for every week of the year... not like many multi-author works, the normal of writing is uniform and of a excessive standard... The format is pleasing, the diagrams and pictures are transparent and tables of knowledge abound. The absence of color is overshadowed through the general very good caliber of the e-book. The editors are to be counseled for making on hand this sort of complete assurance of toxicology among the covers of a unmarried quantity. i'd suggest this as a textual content for a whole yr of research in toxicology at complicated undergraduate point or higher.'' -Today's lifestyles technological know-how

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Comparison Procedures "Control versus k Treatments or Doses" In several publications, numerous statistical approaches for many-to-one designs in toxicology were described. Two concepts should be distinguished: 9 Pairwise tests (t tests, u tests) "control versus group j," each independent at level a. Here, the principle of an experimental type I error rate is violated and no order information is used. Independent of the number of groups, a minimum type II error rate is guaranteed. 9 Multiple comparison procedures guarantee an experimental type I error rate, but depending on the number of groups, the type II error rate will increase.

In the example for the four-dimensional trend test (global test) the null hypothesis can be rejected. 6449. 65, the minimum effective dose is 50 m g / k g . 9 Assuming the repeated measures are multivariate vectors and using multiple endpoint test in its stabilized version. 9 Transformation into an univariate individual variable in the sense of an integral measure of the growth curve using the area-under-the-curve (AUC) technique for the global time interval (0,T) or selected time intervals (tl, t2).

Increased risk of ~4(t)). 9 Observation of untypical tumor sites for the used strain. 9 Increased degree of metastazation or multiple tumors within one site. , tumors that are visible or found palpation). The latency time can be predicted with more or less precision. 9 Internal tumors found during macroscopic or microscopic examination. 1. , cause of the animal's death) 2. , not the cause of the animal's death) Competing risks could be other tumors, non-neoplastic reasons, or preprotocol sacrifice.

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Toxicology by Hans Marquardt, Siegfried G. Schäfer, Roger O. McClellan, Frank Welsch


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