NonLinear Models in Medical Statistics (Oxford Statistical Science)

Lindsey, J. K.; Lindsey, James K.

ISBN 10: 0198508123 / ISBN 13: 9780198508120

Published by Oxford Univ Press, Great Britain, 2001

About this Item

280 pp including index, with charts graphs and illustrations throughout, 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. Size: 8vo - over 7¾" - 9¾" tall.

Seller Inventory # 45912

Bibliographic Details

• Title: NonLinear Models in Medical Statistics (Oxford Statistical Science)
• Publisher: Oxford Univ Press, Great Britain
• Publication Date: 2001
• Language: English
• ISBN 10: 0198508123
• ISBN 13: 9780198508120
• Binding: Hardcover
• Edition: 1st.
• Condition: Near Fine
• Dust Jacket Condition: Not Issued
• Book Type: Book
• Seller catalogs:
  • Medical

About this title

Synopsis

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.

Review

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)