Statistics and Experimental Design for Toxicologists and Pharmacologists

About this book

Purposefully designed as a resource for practicing and student toxicologists, "Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition" equips you for the regular statistical analysis of experimental data. Starting with the assumption of basic mathematical skills and knowledge, the author supplies a complete and systematic yet practical introduction to the statistical methodologists available for, and used in, the discipline. For every technique presented, a worked example from toxicology is also presented. This is the first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies. It provides coverage of Bayesian analysis and data analysis in pharmacology and toxicology. It features: almost 200 problems with solutions; discussion of analysis of receptor binding assays, safety pharmacology assays and other standard types conducted in pharmacology; and a new chapter explaining the basics of Good Laboratory Practices (GLPs). For those with computer skills, this edition has been enhanced with the addition of basic SAS. Written specifically for toxicologists and pharmacologists, the author draws on more than 30 years of experience to provide understanding of the philosophical underpinnings for the overall structure of analysis. The book's organization fosters the ordered development of skills and yet still facilitates ease of access to information as needed. This Fourth Edition gives you the tools necessary to perform rigorous and critical analysis of experimental data and the insight to know when to use them.

Contents

IntroductionBasic PrinciplesExperimental DesignComputational Devices and SoftwareMethods for Data Preparation and ExplorationNonparametric Hypothesis Testing of Categorical and Ranked DataHypothesis Testing: Univariate Parametric TestsModeling and ExtrapolationTrend AnalysisMethods for Reduction of DimensionalityMultivariate MethodsMeta AnalysisBayesian AnalysisData Analysis Applications in ToxicologyCarcinogenesisRisk Assessment and Low Dose ExtrapolationEpidemiologyStructure Activity RelationshipsGood Laboratory PracticesAreas of Controversy in Statistics as Used for ToxicologyAppendix 1: TablesAppendix 2: Definition of TermsAppendix 3: Greek Alphabet, Abbreviations, and SymbolsAppendix 4: Practice Problems and SolutionsIndex

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