Background The analysis of repeated-measures data presents challenges to investigators
and is a topic for ongoing discussion in theArchives of General Psychiatry. Traditional …

Every year, about 30,000 people die by suicide in the US, and some 650,000 receive
emergency treatment after a suicide attempt. Often, those most at risk are the least able to …

Although much progress has been made in relating brain activations to choice behavior,
evidence that neural measures could actually be useful for predicting the success of …

Background: This longitudinal study aimed to examine the changes in psychological distress
of the general public from the early to community-transmission phases of the COVID-19 …

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 …

" This is a first-class book dealing with one of the most important areas of current research in
applied statistics the methods described are widely applicable the standard of exposition is …

Multilevel analysis is a methodology for the analysis of data with complex patterns of
variability, with a focus on nested sources of such variability–pupils in classes, employees in …

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 …

Hidden Markov models—most often abbreviated to the acronym “HMMs”—are one of the
most successful statistical modelling ideas that have came up in the last forty years: the use …