Statistical Models in Toxicology

Statistical Models in Toxicology provides an up-to-date and comprehensive account of statistical theory topics that occur in toxicology, focusing on describing the statistical models used to assess risk in humans and mixtures of chemicals. The book is suitable for practitioners or as a textbook for advanced undergraduate or graduate students of mathematics and statistics.

Format: Paperback / softback
Length: 286 pages
Publication date: 01 February 2022
Publisher: Taylor & Francis Ltd

The field of toxicology has witnessed a remarkable surge of interest and enthusiasm in recent decades, driven by the dedicated efforts of statisticians who have focused their attention on the estimation of health risks associated with environmental and occupational exposures. This renewed focus has generated a sense of excitement and optimism among both statisticians and toxicologists, as modern statistical techniques with strong mathematical foundations have emerged, accompanied by the advent of modern computers in the latter part of the 20th century. As a result, a multitude of statistical models and methods have been developed to describe toxicological processes and address the associated challenges. Not only have these models achieved a high level of elegance and sophistication mathematically, but they have also found widespread application in industry and government regulatory agencies.

Statistical Models in Toxicology serves as an up-to-date and comprehensive resource that delves into the various statistical theory topics relevant to toxicology. It provides a comprehensive overview of the models employed to assess risk, particularly in humans, and examines their properties, limitations, and impact on risk assessment processes. The book specifically focuses on describing the statistical models used in environmental toxicology to facilitate the evaluation of risk, particularly in the context of human health. It discusses the characteristics and shortcomings of each model, as well as their significance in the realm of risk assessment.

Furthermore, the book explores the application of statistical models to assess the risk associated with mixtures of chemicals, a topic of increasing importance in the field of toxicology. It discusses models that are developed to evaluate the combined effects of multiple chemicals on human health, taking into account their interactions and cumulative impacts. The book also presents statistical models that are tailored for risk estimation in different aspects of environmental toxicology, such as cancer and carcinogenic substances. These models incorporate various factors, including exposure duration, dose, and chemical composition, to estimate the risk of developing cancer or other adverse health outcomes.

In addition to cancer risk assessment, Statistical Models in Toxicology covers models for developmental and reproductive toxicity risk assessment, risk assessment in continuous outcomes, and developmental neurotoxicity. These models are designed to evaluate the potential risks associated with exposure to chemicals during critical stages of human development, such as pregnancy, infancy, and childhood. By incorporating various biological and toxicological endpoints, these models provide valuable insights into the potential hazards posed by chemical exposures.

To enhance the understanding and practical application of these statistical models, the book includes numerous examples and exercises. These examples help readers to apply the theoretical concepts discussed in the book to real-world scenarios and gain hands-on experience in applying statistical methodologies to toxicological data. The exercises are designed to challenge readers' knowledge and skills, and they provide a valuable platform for self-assessment and further exploration of the field.

Statistical Models in Toxicology is an essential resource for toxicologists, environmental scientists, and researchers interested in understanding and evaluating the risks associated with chemical exposures. It provides a comprehensive and up-to-date overview of the various statistical models employed in toxicology, covering a wide range of topics and applications. By leveraging the power of statistical theory and modern computing technologies, the book enables researchers to make informed decisions about chemical safety and risk management, ultimately contributing to the protection of human health and the environment.

Weight: 526g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032242170