Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science): 9781032252858: Medicine & Health Science Books @

The Modelling Survival Data in Medical Research, Fourth Edition is an indispensable resource for anyone looking to analyze survival data in medical research.

With a focus on practical guidance and real-world examples, this book provides a comprehensive overview of the various statistical methods used to model survival data.

The author's many years of experience in teaching and consultancy are evident throughout the text, making it an invaluable resource for both beginners and experienced researchers. The book covers a wide range of topics, including Cox regression, parametric modelling, interval-censoring, frailty modelling, competing risks, analysis of multiple events, and dependent censoring.

Additionally, the new edition includes chapters on Bayesian survival analysis and use of the R software, making it a truly comprehensive guide to survival data analysis. With its accessible writing style and practical examples, this book is perfect for statisticians in the pharmaceutical industry and biomedical research centres, as well as research scientists and clinicians looking to improve their understanding of survival data analysis.

Don't miss out on this opportunity to enhance your skills and take your research to the next level.

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