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

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.

Author: Jianrong Wu
Publisher: CRC Press
Published: 06/18/2018
Pages: 257
Binding Type: Hardcover
Weight: 1.24lbs
Size: 9.21h x 6.14w x 0.69d
ISBN: 9781138033221

About the Author

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.