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
undergraduate or graduate students of mathematics and statistics.
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