Mixed linear models were developed by animal breeders to evaluate genetic potential of
bulls. Application of mixed models has recently spread to all areas of research, spurred by …

The general linear mixed model provides a useful approach for analysing a wide variety of
data structures which practising statisticians often encounter. Two such data structures …

Objective: Although recent statistical and computational developments allow for the
empirical testing of psychological theories in ways not previously possible, one particularly …

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

The first edition of Analysis for Longitudinal Data has become a classic. Describing the
statistical models and methods for the analysis of longitudinal data, it covers both the …

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 …

The explanation and implementation of statistical methods for the medical researcher or
statistician remains an integral part of modern medical research. This book explains the use …

A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of
univariate and multivariate statistical analyses using the latest version of the Statistical …

This book unifies and extends latent variable models, including multilevel or generalized
linear mixed models, longitudinal or panel models, item response or factor models, latent …

SUMMARY A model is proposed for continuous longitudinal data with non-ignorable or
informative drop-out (ID). The model combines a multivariate linear model for the underlying …