NonLinear Models for Medical Statistics (Oxford Statistical Science Series)

Book info: NonLinear Models for Medical Statistics (Oxford Statistical Science Series) (Hardcover, 292 pages) – Oxford University Press, 2001. Language: English.

This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics. Editorial Reviews Review `Statisticians will find much to interest them in the book.' International Journal of Epidemiology About the Author J.K. Lindsey is a Professor of Biostatistics, Limburgs University, Belgium; Professor of Quantitative Methodology, University of Liege, Belgium.