Topics in Modelling of Clustered Data
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ISBN-13:
9781584881858
Veröffentl:
2002
Erscheinungsdatum:
29.05.2002
Seiten:
336
Autor:
Marc Aerts
Gewicht:
562 g
Format:
242x152x23 mm
Sprache:
Englisch
Beschreibung:
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.
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.
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