ISBN: 9781439856789 - modelling survival data in medical research (chapman & hall/crc texts in statistical science) (6 Ergebnisse)

Paperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

hardcover. Zustand: Very Good. Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Zustand: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Zustand: Very Good. 3rd Edition. Hardcover, third edition, xvi + 532 pages, shipping weight over 1kg, NOT ex-library. Dusty handling marks on the outer page edges. Interior is crisp, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- This cornerstone text in the Chapman & Hall/CRC Texts in Statistical Science series provides a highly practical, non-mathematical introduction to the analysis of "time-to-event" data, specifically tailored for clinicians and medical statisticians. Core Focus and Content: The book is renowned for its clarity, focusing on the application of statistical models rather than dense mathematical proofs. - Survival Functions: Detailed guidance on estimating survival using the Kaplan-Meier and Nelson-Aalen methods. - Proportional Hazards: Extensive coverage of the Cox Regression Model, including checking the proportional hazards assumption and handling time-dependent variables. - Parametric Models: Comparison of Weibull, exponential, and log-logistic models for survival data. - Advanced Topics: Introduction to interval-censored data, frailty models (for correlated data), and competing risks. Key Features of the 3rd Edition: - Software Integration: Includes updated examples using R and SAS, reflecting modern computational standards in medical research. - New Content: Features expanded sections on sample size calculation and the analysis of recurrent event data. - Case Studies: Uses real-world medical datasets (e.g., remission times for leukemia patients or survival after heart transplants) to illustrate diagnostic techniques and model selection. - Model Diagnostics: Strong emphasis on residual analysis and identifying influential observations to ensure model validity. -- David Collett is a former Associate Director of Statistics and Clinical Audit at NHS Blood and Transplant and was previously a Professor of Medical Statistics at the University of Reading. His background in both academia and practical healthcare application makes this text a staple for "bench-to-bedside" research.…