Nonlinear Models for Medical Statistics
Series: Oxford Statistical Science Series; 26;
- Publisher's listprice GBP 145.00
-
65 467 Ft (62 350 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 6 547 Ft off)
- Discounted price 58 921 Ft (56 115 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
65 467 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2 Rev ed
- Publisher OUP Oxford
- Date of Publication 19 July 2001
- ISBN 9780198508120
- Binding Hardback
- No. of pages292 pages
- Size 242x161x21 mm
- Weight 556 g
- Language English
- Illustrations numerous tables and figures 0
Categories
Short description:
This book provides an introduction to the use of nonlinear modelling in medical statistics, including worked through examples in most areas where such techniques are used. It is suitable for both professional and academic statisticians working in medical research. The data and computer code for the examples will be available on the authors web site.
MoreLong description:
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 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.
Table of Contents:
Preface
Basic concepts
Practical aspects
Families of nonlinear regression functions
Epidemiology
Clinical trials
Quality of life
Pharmacokinetics
Pharmacodynamics
Assays and formulations
Molecular genetics
Data and model examples from R
Stochastic dependence structures
Data tables for the exercises
Bibliography
Author index
Subject index
