Mehdi Razzaghi

Statistical Models in Toxicology (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book is intended to present an up-to-date and comprehensive account of mathematical statistics problems that occur in toxicology. The aim is to introduce a wide variety of statistical models that are currently utilized for dose-response modeling and risk analysis. These models are often developed based on design and regulatory guidelines of toxicological experiments.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 288
• Erscheinungstermin: 21. Mai 2020
• Englisch
• ISBN-13: 9780429532351
• Artikelnr.: 59499436

Autorenporträt

Dr. Razzaghi holds a PhD in Statistics from the University of London in England. He has over 35 years of teaching and research experience in many universities and institutions of higher education in several countries around the world. His principle area of research is Environmental Statistics with particular reference to applications of statistical modeling and risk assessment in toxicological experiments

Inhaltsangabe

1. Introduction
2. Quantitative Risk Assessment
3. Statistical Models for Chemical Mixtures
4. Models for Carcinogenesis
5. Models in Reproductive and Developmental Toxicology
6. Analysis of Quantitative Data and Responses from Neurotoxicity
Experiments
7. Developmental Neurotoxicity Modelling and Risk Assessment
Appendix 1
Appendix 2
Appendix 3

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1. Introduction
2. Quantitative Risk Assessment
3. Statistical Models for Chemical Mixtures
4. Models for Carcinogenesis
5. Models in Reproductive and Developmental Toxicology
6. Analysis of Quantitative Data and Responses from Neurotoxicity Experiments
7. Developmental Neurotoxicity Modelling and Risk Assessment
Appendix 1
Appendix 2
Appendix 3

Rezensionen

"Statistical Models in Toxicology is written by an author with extensive experienceworking in toxicology data analysis and in collaborating with colleagues at the National Center for Toxicological Research. (...) This book provides an introduction to a broad range of toxicological responses and the statistical analyses that might be used to analyze them. I appreciated the historical foundations provided for many of these analyses along with the discussion of modern methods being used for analyzing toxicological experiments for risk assessment including model averaging. (...) ."
-A.J. BAiler, in the Journal of Agricultural, Biological, and Environmental Statistics, March 2021