Description
Book SynopsisUsing time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or noninformativeness of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest.
After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for small samples; and estimation and testing for change in hazard. It then presents descriptive and graphical methods useful in the analysis of time-to-event endpoints. The next several chapters explore a variety of
Trade Review
… One of the strengths of the book is the collection, discussion and illustration of the many diverse time-to-event problems that may occur in practice. … this publication provides a comprehensive overview of classical and emerging ideas in the analysis of time-to-event problems. Written by experts in their area, the book has a wealth of references in each topic should the reader wish to learn about or extend their understanding of individual concepts or analysis methods. It is a worthwhile book to have in the library for anyone working in designing, conducting, analysing or interpreting studies with time-to-event outcomes.
—Australian & New Zealand Journal of Statistics, 2011
Table of ContentsOverview of Time-to-Event Endpoint Methodology. Design (and Monitoring) of Clinical Trials with Time-to-Event Endpoints. Overview of Time-to-Event Parametric Methods. Overview of Semiparametric Inferential Methods for Time-to-Event Endpoints. Overview of Inferential Methods for Categorical Time-to-Event Data. Overview of Bayesian Inferential Methods Including Time-to-Event Endpoints. An Efficient Alternative to the Cox Model for Small Time-to-Event Trials. Estimation and Testing for Change in Hazard for Time-to-Event Endpoints. Overview of Descriptive and Graphical Methods for Time-to-Event Data. Design and Analysis of Analgesic Trials. Design and Analysis of Analgesic Trials with Paired Time-to-Event Endpoints. Time-to-Event Endpoint Methods in Antibiotic Trials. Design and Analysis of Cardiovascular Prevention Trials. Design and Analysis of Antiviral Trials. Cure Rate Models with Applications to Melanoma and Prostate Cancer Data. Parametric Likelihoods for Multiple Nonfatal Competing Risks and Death, with Application to Cancer Data. Design, Summarization, Analysis, and Interpretation of Cancer Prevention Trials. LASSO Method in Variable Selection for Right-Censored Time-to-Event Data with Application to Astrocytoma Brain Tumor and Chronic Myelogenous Leukemia. Selecting Optimal Treatments Based on Predictive Factors. Application of Time-to-Event Methods in the Assessment of Safety in Clinical Trials. Design and Analysis of Chronic Carcinogenicity Studies of Pharmaceuticals in Rodents. Design and Analysis of Time-to-Tumor Response in Animal Studies: A Bayesian Perspective. Index.
