Topics in Modelling of Clustered Data

Describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and social science studies. This book provides a comprehensive overview of marginal, condition, and random effects models using the likelihood, pseudo-likelihood, and generalized estimating equations methods.