The regression models appropriate for counted data have seen little use in psychology. This
article describes problems that occur when ordinary linear regression is used to analyze …

Time trends for population-based disease rates often are summarized by using direct
adjustment by period of diagnosis or death. Similarly, the effect of age often is presented …

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework
for statistical modelling, with an emphasis on numerical and graphical methods. This new …

Throughout the social, medical and other sciences the importance of understanding
complex hierarchical data structures is well understood. Multilevel modelling is now the …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

Praise for the Second Edition" A must-have book for anyone expecting to do research and/or
applications in categorical data analysis."—Statistics in Medicine" It is a total delight reading …

S is a powerful environment for the statistical and graphical analysis of data. It provides the
tools to implement many statistical ideas that have been made possible by the widespread …

Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting
a broad class of Bayesian regression models. No samples of the posterior marginal …

Objective.—To determine if inadequate approaches to randomized controlled trial design
and execution are associated with evidence of bias in estimating treatment effects. Design …