This review considers a common question in data analysis: What is the most useful way to
analyze longitudinal repeated measures data? We discuss some contemporary forms of …

In longitudinal studies variables are measured repeatedly over time, leading to clustered
and correlated observations. If the goal of the study is to develop prediction models …

This valuable book is now in a fully updated second edition that presents the latest
developments in longitudinal structural equation modeling (SEM) and new chapters on …

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 …

Introduction Several studies have documented increases in adolescent loneliness and
depression in the US, UK, and Canada after 2012, but it is unknown whether these trends …

Several methods for testing mediation hypotheses with 2-level nested data have been
proposed by researchers using a multilevel modeling (MLM) paradigm. However, these …

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

A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …

Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression
modeling of clustered or hierarchical data, such as data on students nested in schools …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …