Nonlinear Models for Medical Statistics

J.K. Lindsey

280 pages, parution le 18/12/2001

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Résumé

Based on a MSc biostatistics course, the 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.

Based on a biostatistics course in nonlinear models for MSc students
Provides many examples from clinical trials, quality of life assessments, epidemiology, pharmokinetics, pharmacodynamics and molecular genetics.
Includes new techniques for non-normal data.
Many exercises with real data
Data and computer code for all examples avaialable on the authors' web site
Useful for all levels of professional and academic statisticians in medical research, including students.
Well known statistics author.

Contents

Preface

Basic concepts
Practical aspects
Families of nonlinear regression functions
Epidemiology
Clinical trials
Quality of life
Pharmacokinetics
Pharmacodynamics
Assays and formulations
Molecular genetics

Appendices
A. Data and model examples from R
B. Stochastic dependence structures
C. Data tables for the exercises
Bibliography

Author index

Subject index

L'auteur - J.K. Lindsey

Limburgs Universitair Centrum, Diepenbeek, Belgium

Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	J.K. Lindsey
Parution	18/12/2001
Nb. de pages	280
Format	16 x 24
Couverture	Relié
Poids	574g
Intérieur	Noir et Blanc
EAN13	9780198508120
ISBN13	978-0-19-850812-0