Mehdi Razzaghi

Statistical Models in Toxicology

• Broschiertes Buch

Produktbeschreibung

Statistical Models in Toxicology presents an up-to-date and comprehensive account of statistical theory topics that occur in toxicology. The attention given by statisticians to the problem of health risk estimation for environmental and occupational exposures in the last few decades has created excitement and optimism among both statisticians and toxicologists. The development of modern statistical techniques with solid mathematical foundations in the twentieth century and the advent of modern computers in the latter part of the century gave way to the development of many statistical models and methods to describe toxicological processes and attempts to solve the associated problems. Not only have the models enjoyed a high level of elegance and sophistication mathematically, but they are widely used by industry and government regulatory agencies.

Features:

Focuses on describing the statistical models in environmental toxicology that facilitate the assessment of risk mainly in humans. The properties and shortfalls of each model are discussed, and its impact in the process of risk assessment is examined.

Discusses models that assess the risk of mixtures of chemicals.

Presents statistical models that are developed for risk estimation in different aspects of environmental toxicology including cancer and carcinogenic substances.

Includes models for developmental and reproductive toxicity risk assessment, risk assessment in continuous outcomes, and developmental neurotoxicity.

Contains numerous examples and exercises.

Statistical Models in Toxicology introduces 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. The book is suitable for practitioners or it can be used as a textbook for advanced undergraduateor graduate students of mathematics and statistics.

Produktdetails

• Verlag: Chapman and Hall/CRC / Taylor & Francis
• Seitenzahl: 288
• Erscheinungstermin: 1. Februar 2022
• Englisch
• Abmessung: 234mm x 156mm x 16mm
• Gewicht: 417g
• ISBN-13: 9781032242170
• ISBN-10: 1032242175
• Artikelnr.: 62951938

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