Statistics and Experimental Design for Toxicologists and Pharmacologists

ISBN-13: 9780367392482 / Angielski / Miękka / 2019 / 592 str.

Shayne C. Gad

Opis

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.

Spis treści

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.

O autorze

Gad, Shayne C.