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Statistics and Experimental Design for Toxicologists and Pharmacologists

Autor Shayne C. Gad
en Limba Engleză Paperback – 7 oct 2019
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.

See what's new in the Fourth Edition:
  • The first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies
  • Coverage of Bayesian analysis and data analysis in pharmacology and toxicology
  • Almost 200 problems with solutions
  • Discussion of analysis of receptor binding assays, safety pharmacology assays and other standard types conducted in pharmacology
  • 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.
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    Specificații

    ISBN-13: 9780367392482
    ISBN-10: 0367392488
    Pagini: 592
    Dimensiuni: 156 x 234 x 33 mm
    Greutate: 0.45 kg
    Ediția:4th edition
    Editura: CRC Press
    Colecția CRC Press
    Locul publicării:Boca Raton, United States

    Public țintă

    Professional Reference

    Cuprins

    Introduction. Basic Principles Experimental Design. Software Programs. Methods for Data Collection, Preparation and Exploration. Hypothesis Testing: Categorical and Ranked Data. Hypothesis Testing: Univariate. Modeling and Extrapolation. Trend Analysis. Methods for Reduction of Dimensionality. Multivariate Methods. Meta Analysis. Bayesian Analysis. Data Analysis in Toxicology. Data Analysis for Pharmacology and Pharmokinetics. Carcinogenesis. Risk Assessment. Epidemiology. Structure Activity Relationships. Frontiers and Controversy. Appendices-Tables.

    Descriere

    This fourth edition provides tools for the rigorous and critical analysis of experimental data. Assuming only basic mathematical skills, the book provides a complete and exhaustive introduction to the statistical methods available and updates all material to cover current practices. The author also provides three entirely new and up-to-the-minute chapters: one provides the first practical guide to performing meta analysis that allows for the power inherent in multiple similar studies; two others cover Bayesian analysis and data analysis in pharmacology, discussing analysis of receptor binding assays, safety pharmacology assays, and other standard study types conducted in pharmacology.