Design and Analysis of Clinical Trials with Time-to-Event Endpoints

by Karl E. Peace (Editor)

Overview

Using 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 o

Product Details

ISBN-13:	9781040179468
Publisher:	CRC Press
Publication date:	04/23/2009
Series:	Chapman & Hall/CRC Biostatistics Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	616
File size:	7 MB

About the Author

Karl E. Peace is Georgia Cancer Coalition Distinguished Cancer Scholar (GCCDCS), Senior Research Scientist, and Professor of Biostatistics in the Jiann-Ping Hsu College of Public Health (JPHCOPH) at Georgia Southern University. In addition to his many endowments and awards, Dr. Peace has made critical contributions to the development and approval of drugs to treat Alzheimer's disease, prevent gastrointestinal ulcers, reduce the risk of myocardial infarction, and treat anxiety/depression.

Table of Contents

Overview 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.

What People are Saying About This

From the Publisher

… 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

Editorial Reviews

… 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

From the Publisher