Statistical Methods for Survival Trial Design - With Applications to Cancer Clinical Trials Using R (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Biostatistics Series
Release date:	December 2020
First published:	2018
Authors:	Jianrong Wu
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	257
ISBN-13:	978-0-367-73432-9
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Medical genetics Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General Promotions
LSN:	0-367-73432-X
Barcode:	9780367734329

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