Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R

— —

Jianrong Wu

Statistical Methods for Survival Trial Design

With Applications to Cancer Clinical Trials Using R

Jianrong Wu

$231

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
18 June 2018

Clinical trials; Medical genetics; Oncology; Probability & statistics

Series: Chapman & Hall/CRC Biostatistics Series

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.

By: Jianrong Wu
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 544g
ISBN: 9781138033221
ISBN 10: 1138033227
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 257
Publication Date: 18 June 2018
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Hardback
Publisher's Status: Active

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.

Reviews for Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R

""". . . 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 "". . . 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"