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E-BOOK
Title Statistical methods for survival trial design : with applications to cancer clinical trials using R / Jianrong Wu.
Imprint Boca Raton, FL : CRC Press / Taylor and Francis Group, 2018.

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 Internet  Electronic Book    AVAILABLE
Description 1 online resource
Series Chapman & Hall/CRC biostatistics series
Chapman & Hall/CRC biostatistics series.
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Description based on print version record cip data provided by publisher.
Subject Clinical trials -- Statistical methods.
Cancer -- Research -- Methodology.
Medicine -- Research -- Methodology.
R (Computer program language)
Clinical Trials as Topic -- methods.
Neoplasms -- therapy.
Research Design.
Genre Electronic books.
Contents Chapter 1 Introduction to Cancer Clinical Trials -- chapter 2 Survival Analysis -- chapter 3 Counting Process and Martingale -- chapter 4 Survival Trial Design under the Parametric Model -- chapter 5 Survival Trial Design under the Proportional Hazards Model -- chapter 6 Survival Trial Design under the Cox Regression Model -- chapter 7 Complex Survival Trial Design -- chapter 8 Survival Trial Design under the Mixture Cure Model -- chapter 9 A General Group Sequential Procedure -- chapter 10 Sequential Survival Trial Design -- chapter 11 Sequential Survival Trial Design Using Historical Controls -- chapter 12 Some Practical Issues in Survival Trial Design -- chapter A. Likelihood Function for the Censored Data -- chapter B. Probability of Failure under Uniform Accrual -- chapter C C. Verification of the Minimum Sample Size Conditions -- chapter D.R Codes for the Sample Size Calculations -- chapter E. Derivation of the Asymptotic Distribution -- chapter F. Derivation of Equations for Chapter 8.
Summary 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.
Other Title Print version: Statistical methods for survival trial design Boca Raton : Taylor & Francis, 2018. 9781138033221 (hardback)