1st Edition
Topics in Modelling of Clustered Data
336 Pages
by
Chapman & Hall
336 Pages
44 B/W Illustrations
by
Chapman & Hall
336 Pages
by
Chapman & Hall
Also available as eBook on:
Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, 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. It focuses on providing a... Read more
Issues in Modelling Clustered Data and Motivating Examples. Model Families and Estimating Methods. Pseudo-Likelihood Estimation. Pseudo-Likelihood Inference. Flexible Polynomial Models. Assessing the Fit of a Model. Quantitative Risk Assessment. Model Misspecification. Exact Dose-Response Inference. Individual Level Covariates. Combined Continuous and Discrete Outcomes. Multilevel Modeling of Complex Survey Data.
Biography
Marc Aerts, Helena Geys, Geert Molenberghs, Louise M. Ryan
