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Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R: Chapman & Hall/CRC Biostatistics Series

Autor Jianrong Wu
en Limba Engleză Hardback – 18 iun 2018
Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the principles of designing and monitoring cancer clinical trials in which time-to-event is the primary endpoint. Traditional cancer trial designs with time-to-event endpoints are often limited to the exponential model or proportional hazards model. In practice, however, those model assumptions may not be satisfied for long-term survival trials.
This book is the first to cover comprehensively the many newly developed methodologies for survival trial design, including trial design under the Weibull survival models; extensions of the sample size calculations under the proportional hazard models; and trial design under mixture cure models, complex survival models, Cox regression models, and competing-risk models. A general sequential procedure based on the sequential conditional probability ratio test is also implemented for survival trial monitoring. All methodologies are presented with sufficient detail for interested researchers or graduate students.
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Specificații

ISBN-13: 9781138033221
ISBN-10: 1138033227
Pagini: 273
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Biostatistics Series


Notă biografică

Jianrong (John) Wu is a professor in the Division of Cancer Biostatistics, Department of Biostatistics, Markey Cancer Center, University of Kentucky. He has more than 15 years’ experience of designing and conducting cancer clinical trials at St. Jude Children’s Research Hospital and has developed several novel statistical methods for designing phase II and phase III survival trials.
 
 

Recenzii

". . . this book provides a comprehensive introduction to statistical methods in cancer of sample size calculations and survival clinical trial designs from the classical techniques to the newly proposed formulae such as the mixture cure model and a group sequential trial design. This book has a vast list of citations and is an excellent reference for statisticians performing oncology research in the pharmaceutical industry or in other settings, and for graduate students in biostatistics or in related fields." ~ Journal of Biopharmaceutical Statistics
"I would recommend this book for those that are starting to work with this kind of trial design and would like to have a good overview and source of knowledge
for some not so common methods for more complex cancer trial designs, including simple formulae to implement in R to calculate sample sizes."
~David Manteigas, ISCB Newsletter
 

Descriere

This book focuses on clinical trial design and monitoring with time-to-event endpoints. Detail of subjects of the book are included in book contents. This book not only provides a comprehensive review of existing methods. The book also presents a general group sequential method for trial monitoring which has not been published in any book.