Topics in Modelling of Clustered Data

ISBN-13: 9781584881858 / Angielski / Twarda / 2002 / 336 str.

Marc Aerts; Geert Molenberghs; Louise M. Ryan

Opis

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 comprehensive treatment of marginal, conditional, and random effects models using, among others, likelihood, pseudo-likelihood, and generalized estimating equations methods.

Spis treści

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.

O autorze

Marc Aerts, Helena Geys, Geert Molenberghs, Louise M. Ryan