Topics in Modelling of Clustered Data (eBook, PDF)

Redaktion: Aerts, Marc; Geys, Helena; Ryan, Louise M.; Molenberghs, Geert

• Format: PDF

Produktbeschreibung

Compiled from the contributions of leading specialists, this book describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and social science studies. It provides a comprehensive overview of marginal, condition, and random effects models using the likelihood, pseudo-likelihood, and generalized estimating equations methods. Focusing on binary data, the authors motivate and illustrate all aspects of these models in a variety of real applications, particularly developmental toxicity studies. They also discuss several variations and extensions. Clearly written, this treatment offers a practical, easily accessible survey of important modelling issues.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 336
• Erscheinungstermin: 29. Mai 2002
• Englisch
• ISBN-13: 9781420035889
• Artikelnr.: 52844346

Autorenporträt

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

Inhaltsangabe

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.