There has been increased interest in studying cancer patient survival in recent years, which has prompted advances in methods for estimating and modeling cancer patient survival. This book is the first focused on this topic, and uses real data and software to illustrate the methods involved. The supporting website provides code to enable readers to reproduce the analysis top illustrate the examples included in the book. The book presents methods for population-based cancer survival analysis, that is, the analysis of patient survival using data collected by population-based cancer registries. The primary focus will be on the statistical methods but non-statistical issues that arise in population-based studies of cancer patient survival, such as registration, coding and classification, and follow up procedures are also discussed.
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Sprache
Verlagsort
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Höhe: 229 mm
Breite: 152 mm
ISBN-13
978-0-470-02859-9 (9780470028599)
Schweitzer Klassifikation
Paul Dickman, Department of Epidemiology, Karolinska Institutet, Stockholm, Sweden. Associate Professor of Biostatistics, Paul Dickman has been working in this area for 12 years and has published 17 papers in the field of cancer survival analysis alone.
Timo Hakulinen, Finnish Cancer Registry, Helsinki, Finland. Professor Hakulinen is the Director of the Finish Cancer Registry, and has been working in this field since 1974, publishing 91 papers within it. He has also co-authored chapters in two books.
Between them, Drs. Dickman and Hakulinen have taught more than 20 courses on cancer survival analysis.
Autor*in
Karolinska Institutet, Sweden
Finnish Cancer Registry, Finland
There has been increased interest in studying cancer patient survival in recent years. Population-Based Cancer Survival is the first book to focus on advances in methods for estimating and modeling cancer patient survival. Using real data and software to illustrate the methods, the authors' supporting Web site provides code to enable readers to reproduce the analysis and illustrate the examples included in the book. The primary focus of this book is on the statistical methods and non-statistical issues that arise in population-based studies of cancer patient survival.
