Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include:

• descriptive methods for delineating trends over time
• linear mixed regression models with both fixed and random effects
• covariance pattern models on correlated errors
• generalized...