Statistics and Experimental Design for Toxicologists and Pharmacologists / Edition 4

by Shayne C. Gad

Overview

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.

Product Details

ISBN-13:	9780849322143
Publisher:	Taylor & Francis
Publication date:	07/18/2005
Edition description:	REV
Pages:	588
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Gad, Shayne C.

Table of Contents

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.

Editorial Reviews

Reviewer: Laura E Power, MS (Oregon State University)
Description: This is a both a textbook to educate toxicologists and pharmacologists in statistics and experimental design and a resource to guide professional toxicologists and pharmacologists through statistics and experimental design. It contains relevant problem sets with solutions.
Purpose: The purpose is to educate and serve as a resource in statistics and experimental design for toxicologists. In addition to presenting an example problem for each technique discussed, basic SAS examples are included in this edition. These objectives are worthy. Toxicologists are educated in several fields of science, and their work involves applying statistics and experimental design. This book leads a researcher through an experimental design, providing guidance on which statistical tests should be used. The book meets the author's objectives by clarifying the decision process for choosing experimental and statistical design, while providing educational background.
Audience: This book is written for student and practicing toxicologists. The author is a credible authority in educating toxicologists in statistics and experimental design. He has 30 years of experience in toxicology and statistics and has authored 29 books.
Features: The book begins by introducing statistical concepts. It then presents an overview of computational hardware and software, and presents a helpful decision tree for selecting statistical techniques. Techniques are then presented, followed by a review of data analysis applications in toxicology. The book ends with an introduction to good laboratory practices and an overview of controversial areas. The decision tree for selecting statistical techniques is extremely helpful for practicing toxicologists. It is organized well to lead the reader to book sections relevant to satisfying their research objectives. A shortcoming of the decision tree is that it does not always include all options for appropriate statistical tests. For example, in the box in Figure 2.4 that directs the reader to use the Wilcoxon Rank Sum Test, the Mann-Whitney U Test would also be appropriate. However, the text describing the Mann-Whitney U Test (pp. 70-71) does indicate that it was not included in the decision tree.
Assessment: This is useful for educating toxicologists and as a resource for practicing toxicologists. It is organized in such a way that readers can pick up the book and quickly decide on the appropriate analytical techniques for their research. This edition incorporates computational techniques in statistics, which is very useful for the modern toxicologist.

Doody's Review Service

3 Stars from Doody