Buch, Englisch, Band 28, 264 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 567 g
Buch, Englisch, Band 28, 264 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 567 g
Reihe: Chapman & Hall/CRC Interdisciplinary Statistics
ISBN: 978-1-4398-1448-2
Verlag: CRC Press
Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.
Zielgruppe
Clinical oncologists and trial managers, biostatisticians, and graduate students of biostatistics
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction
A Brief History of Clinical Trials
The Southwest Oncology Group (SWOG)
The Reason for This Book
Statistical Concepts
Introduction
The Single-Arm Phase II Trial—Estimation
The Randomized Phase III Trial—Hypothesis Testing
The Proportional Hazards Model
Sample Size Calculations
Concluding Remarks
The Design of Clinical Trials
Objectives
Eligibility
Treatment Arms
Randomized Treatment Assignment
Endpoints
Differences to be Detected or Precision of Estimates and Other Assumptions
Use of Independent Data Monitoring Committees
Ethical Considerations
Conclusion
Phase I and Phase I/II Trials
Phase I Trials
Phase I/II Designs
Phase II Trials
Single-Arm Phase II Designs
Multi-Arm Phase II Trials
Other Phase II Designs
Randomized versus Single-Arm: The Pros and Cons
Conclusion
Phase III Trials
Randomization
Other Design Considerations
Equivalence or Noninferiority Trials
Designs for Targeted Agents
Multi-Arm Trials
Interim Analyses
Phase II/III Trials
Concluding Remark
Data Management and Quality Control
Introduction: Why Worry?
Protocol Development
Data Collection
Data Submission
Data Evaluation
Publication
Quality Assurance Audits
Training
Database Management
Conclusion
Reporting of Results
Timing of Report
Required Information
Analyses
Conclusion
Pitfalls
Introduction
Historical Controls
Competing Risks
Outcome by Outcome Analyses
Subset Analyses
Surrogate Endpoints
Exploratory Analyses
Introduction
Some Background and Notation
Identification of Prognostic Factors
Forming Prognostic Groups
Analysis of Microarray Data
Meta-Analysis
Concluding Remarks
Summary and Conclusions
References
Index