Topics in Modelling of Clustered Data
Seiten
2002
Chapman & Hall/CRC (Verlag)
978-1-58488-185-8 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-58488-185-8 (ISBN)
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.
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.
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.
Marc Aerts, Helena Geys, Geert Molenberghs, Louise M. Ryan
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.
| Zusatzinfo | 52 Tables, black and white; 2 Halftones, black and white; 44 Illustrations, black and white |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 780 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| ISBN-10 | 1-58488-185-2 / 1584881852 |
| ISBN-13 | 978-1-58488-185-8 / 9781584881858 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
für Ingenieure und Naturwissenschaftler
Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 48,95
Buch | Softcover (2025)
Springer Vieweg (Verlag)
CHF 62,95
Buch | Softcover (2025)
Springer Fachmedien Wiesbaden (Verlag)
CHF 69,95
