Topics in Modelling of Clustered Data
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ISBN-13:
9780367396107
Veröffentl:
2019
Erscheinungsdatum:
05.09.2019
Seiten:
336
Autor:
Marc Aerts
Gewicht:
454 g
Format:
229x152x18 mm
Sprache:
Englisch
Beschreibung:
Compiled from the contributions of leading specialists, this book describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and social science studies. It provides a comprehensive overview of marginal, condition, and random effects models using the likelihood, pseudo-likelihood, and generalized estimating equations methods. Focusing on binary data, the authors motivate and illustrate all aspects of these models in a variety of real applications, particularly developmental toxicity studies. They also discuss several variations and extensions. Clearly written, this treatment offers a practical, easily accessible survey of important modelling issues.
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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