Nonlinear Models for Medical Statistics by Jk Lindsey

Nonlinear Models for Medical Statistics by Jk Lindsey

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 in statistical modelling and of generalized linear models. The book first provides a general introduction to nonlinear models, comparing them to generalized linear models. It describes data handling and formula definition and summarises 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 molecular genetics. The book concludes with appendicies describing data handling and model formulae in more detail, and given ways of modelling dependencies in repeated measurements, and data for the exercises.

This book is a great introduction to the topic of nonlinear models and is probably the only book that deals with some of the conceptsLindsey's writing style makes easy reading and very useful reference ... this book is a must for those working in early phase clinical trials, particularly in the discipline of pharmacokinetics and pharmacodynamics. * Pharmaceutical Statistics *
The book would benefit primarily those statisticians working in exploratory fields, particularly early drug development. It would also benefit those working in pharmacokinetics and pharmacodynamics. * Pharmaceutical Statistics *

SKU	Unavailable
ISBN 13	9780198508120
ISBN 10	0198508123
Title	Nonlinear Models for Medical Statistics
Author	Jk Lindsey
Series	Oxford Statistical Science Series
Condition	Unavailable
Publisher	Oxford University Press
Year published	2001-07-19
Number of pages	292
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable