Survival Analysis A Practical Approach
Produktdetaljer
Om bidragsyterne
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, UKAuthor 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.
"…a front runner among currently available texts on survival analysis." <i>(The Journal of Tropical Pediatrics, October 2006)</i> <p>“This book is a front runner among currently available texts on survival analysis.” (<i>Journal of Tropical Pediatrics</i>, June 2007)</p>
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.
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.
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.
This book is designed with the practitioner in mind and is aimed at medical statisticians, epidemiologists, clinicians and healthcare professionals as well as students studying survival analysis as part of their graduate or postgraduate courses and thus presents the subject in a user-friendly way.
Produktdetaljer
Om bidragsyterne
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, UKAuthor 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.