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Population–based Cancer Survival Analysis

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Population–based Cancer Survival Analysis

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Description

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.

Author Biography:

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.
Release date Australia
December 15th, 2022
Audience
  • Professional & Vocational
Pages
320
ISBN-13
9780470028599
Product ID
2464104

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