
- 616 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Design and Analysis of Clinical Trials with Time-to-Event Endpoints
About this book
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
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Yes, you can access Design and Analysis of Clinical Trials with Time-to-Event Endpoints by Karl E. Peace in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front cover
- Dedication
- Contents
- Preface
- Editor
- Contributors
- Chapter 1. Overview of Time-to-Event Endpoint Methodology
- Chapter 2. Design (and Monitoring) of Clinical Trials with Time-to-Event Endpoints
- Chapter 3. Overview of Time-to-Event Parametric Methods
- Chapter 4. Overview of Semiparametric Inferential Methods for Time-to-Event Endpoints
- Chapter 5. Overview of Infrential Methods for Categorical Time-to-Event Data
- Chapter 6. Overview of Bayesian Inferential Methods Including Time-to-Event Endpoints
- Chapter 7. An Efficient Alternative to the Cox Model for Small Time-to-Event Trials
- Chapter 8. Estimation and Testing for Change in Hazard for Time-to-Event Endpoints
- Chapter 9. Overview of Descriptive and Graphical Methods for Time-to-Event Data
- Chapter 10. Design and Analysis of Analgesic Trials
- Chapter 11. Design and Analysis of Analgesic Trials with Paired Time-to-Event Endpoints
- Chapter 12. Time-to-Event Endpoint Methods in Antibiotic Trials
- Chapter 13. Design and Analysis of Cardiovascular Prevention Trials
- Chapter 14. Design and Analysis of Antiviral Trials
- Chapter 15. Cure Rate Models with Applications to Melanoma and Prostate Cancer Data
- Chapter 16. Parametric Likelihoods for Multiple Nonfatal Competing Risks and Death, with Application to Cancer Data
- Chapter 17. Design, Summarization, Analysis, and Interpretation of Cancer Prevention Trials
- Chapter 18. LASSO Method in Variable Selection for Right-Censored Time-to-Event Data with Application to Astrocytoma Brain Tumor and Chronic Myelogenous Leukemia
- Chapter 19. Selecting Optimal Treatments Based on Predictive Factors
- Chapter 20. Application of Time-to-Event Methods in the Assessment of Safety in Clinical Trials
- Chapter 21. Design and Analysis of Chronic Carcinogenicity Studies of Pharmaceuticals in Rodents*
- Chapter 22. Design and Analysis of Time-to-Tutor Response in Animal Studies: A Bayesian Perspective
- Appendix: WinBUGS
- Index
- Back cover