Over the last three decades, mixed models have been frequently used in a wide range of
small area applications. Such models offer great flexibilities in combining information from …

Abstract Breslow and Clayton (J Am Stat Assoc 88: 9–25, 1993) was, and still is, a highly
influential paper mobilizing the use of generalized linear mixed models in epidemiology and …

Cells from the same individual share common genetic and environmental backgrounds and
are not statistically independent; therefore, they are subsamples or pseudoreplicates. Thus …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

An accessible introduction to indirect estimation methods, both traditional and model-based.
Readers will also find the latest methods for measuring the variability of the estimates as …

It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …

For count responses, the situation of excess zeros (relative to what standard models allow)
often occurs in biomedical and sociological applications. Modeling repeated measures of …

In many biometrical applications, the count data encountered often contain extra zeros
relative to the Poisson distribution. Zero‐inflated Poisson regression models are useful for …

The paper presents a unified jackknife theory for a fairly general class of mixed models
which includes some of the widely used mixed linear models and generalized linear mixed …