Topics in Modelling of Clustered Data

Marc Aerts

ISBN 10: 1584881852 / ISBN 13: 9781584881858

Published by CRC Press Mai 2002, 2002

About this Item

Neuware - 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.

Seller Inventory # 9781584881858

Bibliographic Details

• Title: Topics in Modelling of Clustered Data
• Publisher: CRC Press Mai 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 1584881852
• ISBN 13: 9781584881858
• Binding: Buch
• Condition: Neu
• Dimensions: 242W x 152H x 23D millimeters 242 millimeters width by 152 millimeters height by 23 millimeters depth
• Weight: 562 grams

About this title

Synopsis

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. The authors motivate and illustrate all aspects of these models in a variety of real applications. They discuss several variations and extensions, including individual-level covariates and combined continuous and discrete outcomes. Flexible modelling with fractional and local polynomials, omnibus lack-of-fit tests, robustification against misspecification, exact, and bootstrap inferential procedures all receive extensive treatment. The applications discussed center primarily, but not exclusively, on developmental toxicity, which leads naturally to discussion of other methodologies, including risk assessment and dose-response modelling. Clearly written, Topics in Modelling of Clustered Data offers a practical, easily accessible survey of important modelling issues. Overview models give structure to a multitude of approaches, figures help readers visualize model characteristics, and a generous use of examples illustrates all aspects of the modelling process.

About the Author

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