Abstract Information theoretic approaches and model averaging are increasing in popularity,
but this approach can be difficult to apply to the realistic, complex models that typify many …

During the last three decades, Bayesian methods have developed greatly in the field of
epidemiology. Their main challenge focusses around computation, but the advent of Markov …

Abstract The Scientific Committee (SC) reconfirms that the benchmark dose (BMD) approach
is a scientifically more advanced method compared to the no‐observed‐adverse‐effect …

Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …

History Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown
quantities are simulated from their appropriate probability distribution, have revolutionised …

Many evolutionary biologists are concerned with the tremendous amount of diversity of
species, and their phenotypes, that we can currently observe in nature, and one of the most …

The book's website (with databases and other support materials) can be accessed here.
Praise for the Second Edition: The second edition introduces an especially broad set of …

Structured additive regression models are perhaps the most commonly used class of models
in statistical applications. It includes, among others,(generalized) linear …

Many texts are excellent sources of knowledge about individual statistical tools, but the art of
data analysis is about choosing and using multiple tools. Instead of presenting isolated …

A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …