Statistics and Experimental Design for Toxicologists and Pharmacologists

Author:   Shayne Gad
Publisher:   Taylor & Francis Inc
Edition:   4th edition
ISBN:  

9780849322143


Pages:   588
Publication Date:   18 July 2005
Format:   Hardback
Availability:   In Print   Availability explained
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Statistics and Experimental Design for Toxicologists and Pharmacologists


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Overview

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 book also provides three entirely new and up-to-the-minute chapters. One provides the first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies; two others cover Bayesian analysis and data analysis in pharmacology, which discuss analysis of receptor binding assays, safety pharmacology assays, and other standard study types conducted in pharmacology.

Full Product Details

Author:   Shayne Gad
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Edition:   4th edition
Dimensions:   Width: 15.60cm , Height: 3.70cm , Length: 23.40cm
Weight:   0.952kg
ISBN:  

9780849322143


ISBN 10:   0849322146
Pages:   588
Publication Date:   18 July 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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.

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Gad, Shayne C.

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