Statistics and Experimental Design for Toxicologists and Pharmacologists: 4th Edition (Hardback) book cover

Statistics and Experimental Design for Toxicologists and Pharmacologists

4th Edition

By Shayne C. Gad

CRC Press

592 pages | 21 B/W Illus.

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Hardback: 9780849322143
pub: 2005-07-18
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Description

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.

  • Table of Contents

    Introduction

    Basic Principles

    Experimental Design

    Computational Devices and Software

    Methods for Data Preparation and Exploration

    Nonparametric Hypothesis Testing of Categorical and Ranked Data

    Hypothesis Testing: Univariate Parametric Tests

    Modeling and Extrapolation

    Trend Analysis

    Methods for Reduction of Dimensionality

    Multivariate Methods

    Meta Analysis

    Bayesian Analysis

    Data Analysis Applications in Toxicology

    Carcinogenesis

    Risk Assessment and Low Dose Extrapolation

    Epidemiology

    Structure Activity Relationships

    Good Laboratory Practices

    Areas of Controversy in Statistics as Used for Toxicology

    Appendix 1: Tables

    Appendix 2: Definition of Terms

    Appendix 3: Greek Alphabet, Abbreviations, and Symbols

    Appendix 4: Practice Problems and Solutions

    Index

    Subject Categories

    BISAC Subject Codes/Headings:
    MAT029000
    MATHEMATICS / Probability & Statistics / General
    MED071000
    MEDICAL / Pharmacology
    MED096000
    MEDICAL / Toxicology
    SCI086000
    SCIENCE / Life Sciences / General