Topics in Modelling of Clustered Data

Many methods for analyzing clustered data exists, all with advantages and limitation in particular applications. Compiled from the contributions of some of the world's leading researchers, this essential reference describes the main tools and techniques for modelling clustered data medical, biological, environmental, and social science applications. Methodologically, the book focuses on binary data, incorporating fully, semi-, and non-parametric techniques. The applications are centered primarily, but not exclusively, on developmental toxicity, which, in turn, necessitates the development of other methodologies, including risk assessment and dose-response modelling.

Inhaltsverzeichnis

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.

Über den Autor / die Autorin

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

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Marc Aerts (Herausgeber), Aerts Marc (Herausgeber), Helena Geys (Herausgeber), Geys Helena (Herausgeber), Geert Molenberghs (Herausgeber), Molenberghs Geert (Herausgeber), Louise M. Ryan (Herausgeber), Ryan Louise M. (Herausgeber)
• Verlag: Taylor and Francis
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 29.05.2002
• EAN: 9781584881858
• ISBN: 978-1-58488-185-8
• Seiten: 336
• Gewicht: 780 g
• Illustration: schwarz-weiss Illustrationen, Raster,schwarz-weiss, Tabellen, schwarz-weiss
• Serien: Chapman & Hall/CRC Monographs on Statistics & Applied Probability; Chapman & Hall/CRC Monographs on Statistics and Applied Probability; Chapman & Hall/CRC Monographs
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, Probability & statistics, Mathematical modelling, Probability and statistics