Nonlinear Models for Medical Statistics

J.K. Lindsey (, Limburgs Universitair Centrum, Diepenbeek, Belgium)

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English

Oxford University Press
01 September 2001

Epidemiology & medical statistics; Probability & statistics; Linear programming

Series: Oxford Statistical Science Series

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.

By: J.K. Lindsey ( Limburgs Universitair Centrum Diepenbeek Belgium)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Edition: 2nd Revised edition
Volume: 26
Dimensions: Height: 242mm, Width: 161mm, Spine: 21mm
Weight: 1g
ISBN: 9780198508120
ISBN 10: 0198508123
Series: Oxford Statistical Science Series
Pages: 292
Publication Date: 01 September 2001
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Preface 1: Basic concepts 2: Practical aspects 3: Families of nonlinear regression functions 4: Epidemiology 5: Clinical trials 6: Quality of life 7: Pharmacokinetics 8: Pharmacodynamics 9: Assays and formulations 10: Molecular genetics AppendicesA: Data and model examples from R B: Stochastic dependence structures C: Data tables for the exercises Bibliography Author index Subject index

Reviews for Nonlinear Models for Medical Statistics

This book is a great introduction to the topic of nonlinear models and is probably the only book that deals with some of the concepts. Lindsey'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