Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)

Name: Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)
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Book Synopsis: Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research. Well known for its nontechnical style, this third edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also describes techniques for modelling the occurrence of multiple events and event history analysis. Earlier chapters are now expanded to include new material on a number of topics, including measures of predictive ability and flexible parametric models. Many new data sets and examples are included to illustrate how these techniques are used in modelling survival data.

Bibliographic notes and suggestions for further reading are provided at the end of each chapter. Additional data sets to obtain a fuller appreciation of the methodology, or to be used as student exercises, are provided in the appendix. All data sets used in this book are also available in electronic format online. This book is an invaluable resource for statisticians in the pharmaceutical industry, professionals in medical research institutes, scientists and clinicians who are analyzing their own data, and students taking undergraduate or postgraduate courses in survival analysis.

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Discover the power of survival data analysis with Modelling Survival Data in Medical Research! Whether you're a statistician, researcher, or medical professional, this book is your ultimate resource for unlocking the secrets hidden within survival data. Packed with real-life biomedical examples, this third edition dives deep into the modelling approach, presenting new chapters on frailty models, non-proportional hazards, and much more. With expanded material and new techniques for modelling multiple events, this book is a must-have for anyone seeking to analyze survival data effectively.

Stay on the cutting edge of statistical science and make informed decisions in the pharmaceutical industry with Modelling Survival Data in Medical Research. This expertly-written book offers a non-technical approach, ensuring that readers of all backgrounds can grasp the concepts with ease. From measures of predictive ability to flexible parametric models, this comprehensive guide covers it all. The appendix even includes additional data sets, allowing you to further hone your skills or challenge your students with practical exercises.

But it doesn't stop there. Our book goes above and beyond to provide you with an exceptional learning experience. Every chapter is packed with bibliographic notes and suggestions for further reading, ensuring that you can continue your exploration beyond the book's pages. Moreover, all data sets used in Modelling Survival Data in Medical Research are available online in electronic format, making it easier than ever to apply the knowledge gained from this invaluable resource.

Don't miss out on the opportunity to elevate your statistical analysis skills. Whether you're a seasoned professional or a student seeking to enhance your understanding of survival analysis, let Modelling Survival Data in Medical Research be your guiding light. Order your copy today and unlock the potential of survival data analysis!

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