Best linear unbiased prediction (BLUP) is a standard method for estimating random effects
of a mixed model. This method was originally developed in animal breeding for estimation of …

The person-oriented approach seeks to match theories and methods that portray
development as a holistic, highly interactional, and individualized process. Over the past …

Linear mixed‐effects models are powerful tools for analysing complex datasets with
repeated or clustered observations, a common data structure in ecology and evolution …

In the mental health field, there is a growing awareness that the study of psychiatric
symptoms in the context of everyday life, using experience sampling methodology (ESM) …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Presents a useful guide for applications of SEM whilst systematically demonstrating various
SEM models using Mplus Focusing on the conceptual and practical aspects of Structural …

The R package lcmm provides a series of functions to estimate statistical models based on
linear mixed model theory. It includes the estimation of mixed models and latent class mixed …

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 …

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 …

This handbook presents many methodological advances and the latest applications of
missing data methods in empirical research. It outlines a general taxonomy of missing data …