Topics in Modelling of Clustered Data

Aerts M., Molenberghs G., Ryan L.M.

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.