 
    This book serves as a primary text for students of pharmacology, toxicology, and biology, and as a practical handbook to support the daily operations of the toxicology laboratory and researcher. This edition retains the structure of earlier editions, but has been extensively revised to provide both the student and the working toxicologist with the necessary tools for the rigorous and critical design of studies and analysis of experimental data. Assuming only basic mathematical skills as a starting point, Statistics and Experimental Design for Toxicologists provides a thorough and exhaustive introduction to the statistical methods available to and used in the discipline. A worked, practical example from the field is provided for each technique presented. Written from a toxicologist's perspective, this book provides both the methodological tools necessary to analyze experimental toxicology data and the insight to know when to use them.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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 
Data Analysis in Toxicology 
Carcinogenesis 
Risk Assessment 
Epidemiology 
Structure Activity Relationships 
Frontiers and Controversy 
Appendices-Tables
Book by Gad Shayne C
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