Statistics and Experimental Design for Toxicologists and Pharmacologists
Autor Shayne C. Gaden Limba Engleză Paperback – 7 oct 2019
See what's new in the Fourth Edition:
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
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 ReferenceCuprins
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.