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Handbook of Survival Analysis
Book Hero Magic crafted this summary to help describe this book. While it's new and still
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Summary
The book serves multiple purposes: an introduction for graduate students and beginners, a detailed reference for seasoned researchers, a course text for advanced studies, and a practical guide for statisticians analysing survival data.
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Format: Paperback / softback
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Handbook of Survival Analysis
$17000
Unit price
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Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for graduate students, advanced researchers, and practising statisticians seeking a thorough reference or course text in survival analysis and lifetime data methods.
The book focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.
With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides:
- An introduction to various areas in survival analysis for graduate students and novices
- A reference to modern investigations into survival analysis for more established researchers
- A text or supplement for a second or advanced course in survival analysis
- A useful guide to statistical methods for analysing survival data experiments for practising statisticians
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Praised for its comprehensive coverage of classical and modern survival analysis methods, the book is noted for its clear organisation, consistent notation, and practical real-data applications in every chapter. Biometrical Journal highly recommends it to both practitioners and researchers in biostatistics. Journal of the American Statistical Association suggests advanced PhD students especially benefit, finding value in the text for many years.
Book Details
INFORMATION
ISBN: 9780367330965
Publisher: Taylor & Francis Ltd
Format: Paperback / softback
Date Published: 30 June 2020
Country: United Kingdom
Imprint: Chapman & Hall/CRC
Illustration: 67 Tables, black and white; 89 Illustrations, black and white
Contributors:
- Edited by John P. Klein
- Edited by Hans C. van Houwelingen
- Edited by Joseph G. Ibrahim
- Edited by Thomas H. Scheike
Audience: General / adult, Tertiary education
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 453g
Pages: 656
About the Author
John P. Klein is a professor and director of the Division of Biostatistics at the Medical College of Wisconsin. An elected member of the International Statistical Institute (ISI) and a fellow of the American Statistical Association (ASA), Dr. Klein is the author of 230 research papers, a co-author of Survival Analysis: Techniques for Censored and Truncated Data, an associate editor of Biometrics, Life Time Data Analysis, Dysphagia, and the Iranian Journal of Statistics. He received a Ph.D. from the University of Missouri.
Hans C. van Houwelingen retired from Leiden University Medical Center in 2009 and was appointed Knight in the Order of the Dutch Lion. Dr. van Houwelingen is an elected member of the ISI, a fellow of the ASA, and an honorary member of the International Society for Clinical Biostatistics, Dutch Statistical Society, and the Dutch Region of the International Biometric Society. He is also the co-author of Dynamic Prediction in Clinical Survival Analysis. He received a Ph.D. in mathematical statistics from the University of Utrecht.
Joseph G. Ibrahim is an alumni distinguished professor of biostatistics at the University of North Carolina, Chapel Hill, where he directs the Center for Innovative Clinical Trials. An elected member of the ISI and an elected fellow of the ASA and the Institute of Mathematical Statistics, Dr. Ibrahim has published over 230 research papers and two advanced graduate-level books on Bayesian survival analysis and Monte Carlo methods in Bayesian computation. He received a Ph.D. in statistics from the University of Minnesota.
Thomas H. Scheike is a professor in the Department of Biostatistics at the University of Copenhagen. Dr. Scheike is the co-author of Dynamic Regression Models for Survival Data and has been involved in several R packages for the biostatistical community. He received a Ph.D. in mathematical statistics from the University of California, Berkley, and a Dr. Scient from the University of Copenhagen.
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