Topics in Modelling of Clustered Data (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

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 s

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 336
• Erscheinungstermin: 29. Mai 2002
• Englisch
• ISBN-13: 9781040200254
• Artikelnr.: 73256208

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.