Topics in Modelling of Clustered Data

✍ Scribed by Aerts M., Molenberghs G., Ryan L.M.

Year: 2002
Tongue: English
Leaves: 336
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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