Well received in its first edition, Survival Analysis: A
Practical Approach is completely revised to provide an
accessible and practical guide to survival analysis techniques in
diverse environments.
Illustrated with many authentic examples, the book introduces
basic statistical concepts and methods to construct survival
curves, later developing them to encompass more specialised and
complex models.
During the years since the first edition there have been several
new topics that have come to the fore and many new
applications. Parallel developments in computer software
programmes, used to implement these methodologies, are relied upon
throughout the text to bring it up to date.
Table des matières
Preface to the First Edition.
Preface to the Second Edition.
Chapter 1: Introduction and Review of Statistical Concepts.
Chapter 2: Survival Curves.
Chapter 3: Comparison of Survival Curves.
Chapter 4: Parametric Modelling.
Chapter 5: Cox’s Proportional Hazards Model.
Chapter 6: Selecting Variables within a Cox Model.
Chapter 7: Extensions of the Cox Model.
Chapter 8: Prognostic Indices.
Chapter 9: Sample Sizes.
Chapter 10: Further Topics.
References.
Statistical Tables.
Index.
A propos de l’auteur
David Machin: Division of Clincial Trials and
Epidemiological Sciences, National Cancer Centre, Singapore; UK
Children’s Cancer Study Group, University of Leicester, UK
Institute of General Practice and Primary Care, School of Health
and Related Sciences, University of Sheffield, UK
Author of recently published Design of Medical Studies for Medical
Research and editor of Textbook of Clinical Trials among other
Wiley titles.
Yin Bun Cheung: MRC Tropical Epidemiology Group, London
School of Hygiene and Tropical Medicine, UK, Division of Clinical
Trials and Epidemiological Sciences, National Cancer Centre,
Singapore.
Mahesh Parmar: Cancer Trials Division, MRC Clincial
Trials Unit, London, UK.
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