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Zusatztext ". . . 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 knowledgefor 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 Informationen zum Autor 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. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis Preface List of Figures List of Tables 1. Introduction to Cancer Clinical Trials General Aspects of Cancer Clinical Trial Design Study Objectives Treatment Plan Eligibility Criteria Statistical Considerations Statistical Aspects of Cancer Survival Trial Design Randomization Stratification Blinding Sample Size Calculation 2. Survival Analysis Survival Distribution Exponential Distribution Weibull Distribution Gamma Distribution Gompertz Distribution Log-Normal Distribution Log-Logistic Distribution Survival Data Fitting the Parametric Survival Distribution Kaplan-Meier Estimates Median Survival Time Log-Rank Test Cox Regression Model 3. Counting Process and Martingale_ Basic Convergence Concepts Counting Process Definition Martingale Central Limit Theorem Counting Process Formulation of Censored Survival Data 4. Survival Trial Design Under the Parametric Model Introduction Weibull Model Test Statistic Distribution of the MLE test Sample Size Formula Sample Size Calculation Accrual Duration Calculation Example and R code 5. Survival Trial Design Under the Proportional Hazards Model Introduction Proportional Hazards Model Asymptotic Distribution of the Log-rank Test Schoenfeld Formula Rubinstein Formula Freedman Formula Comparison Sample Size Calculation Under Various Models Example Optimal Properties of the Log-Rank Test_ Optimal Sample Size Allocation Optimal Power Precise Formula ...
