Description: The expertise of toxicologists and statisticians to provide a rigorous and practical account of the interpretation of mutagenicity test data has been drawn upon for this volume. Now, chemicals such as drugs, food additives and pesticides all need careful screening to eliminate potentially mutagenic compounds. Although guidelines exist on the performance of these tests, advice on data evolution is scarce. This niche is now filled by providing the statistical background necessary for toxicologists to understand, design and interpret mutagenicity tests. In addition to the nine chapters dealing with the different tests explained, there is an introductory chapter on some of the statistical principles included, a glossary of useful terms and an appendix providing vital information on the availability of computer software.
Review Quotes: "In summary, this is not a cook book for either statisticians or mutageniticists. This book is a bridge between the two disciplines. It will help the statisticians to understand the problems the mutageniticists encounter in their experiments and help the latter converse fluently with the former to effectively interpret the outcomes of their experiments. Both statisticians and genetic toxicologists will benefit tremendously from this book and should have it on their desks." Journal of Toxicology and Environmental Health