Modelling Survival Data in Medical Research (Texts in Statistical Science)

David Collett

18 valoraciones de Goodreads

Idioma: inglés

Editorial: Chapman and Hall/CRC, 2014

1439856788 / 9781439856789

Librería: killarneybooks, Inagh, Clare, Irlandakillarneybooks

Vendedor de 5 estrellas

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Descripción del artículo del vendedor

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. …

N° de ref. del artículo 012680

Título
Modelling Survival Data in Medical Research (Texts in Statistical Science)
Autor
David Collett
Editorial
Chapman and Hall/CRC
Año de publicación
2014
Estado
Very Good
Encuadernación
Hardcover
Idioma
inglés
ISBN 10
1439856788
ISBN 13
9781439856789
Edición
3rd Edition

killarneybooks

Inagh, Clare, Irlanda

Vendedor de 5 estrellas

Vendedor de IberLibro desde 20 de abril de 2017

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ArtículoDe 5 a 7 días hábilesDe 2 a 4 días hábiles
Primer artículoEUR 34,84EUR 38,00
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All U.S.-bound orders are now shipped with UPS for reliable delivery. Additional customs or import fees are highly unlikely; however, please note buyers remain responsible for any duties or taxes that U.S. Customs may assess. -- Killarneybooks is a family-run bookshop based in the Republic of Ireland. We take pride in accurate listings, careful packaging, and prompt service - most orders ship within 24 hours. All books listed are in stock and ready for immediate dispatch - we are not dropshippers. Inquiries always welcome.…

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professional, academic, non-fiction