Modelling Survival Data in Medical Research

Well known for its nontechnical style, this popular survival analysis textbook presents modern statistical techniques for handling survival data. This 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 ... Read More

Well known for its nontechnical style, this popular survival analysis textbook presents modern statistical techniques for handling survival data. This 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 illustrate how all these techniques are used in modelling survival data. Read Less

• All from $3.18
• New Books from $45.10
• Used Books from $3.18
• eBook from $55.00

• • eBook Details

  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $55.00 (Expires Jan 03, 2025) 365 Day Rental: $65.00 (Expires Jul 07, 2025) Buy eBook Lifetime Access: $100.00 Title: Modelling Survival Data in Medical Research by David Collett Publisher: Taylor & Francis Print ISBN: 9781032252858, 1032252855 eText ISBN: 9781000863185 Edition: 2023 4th edition Format: EPUB eBook	$55.00 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ