Clinical Trials in Oncology, Third Edition

Overview

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New ...

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Overview

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data.

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.

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Editorial Reviews

From the Publisher
Praise for the Previous Editions
"The dedication of the authors to enhancing the quality of clinical trials in oncology is evident from this book. … This book will be useful to students, clinical research nurses and medical statisticians involved in oncology trials. … I also recommend it to libraries and clinical institutions."
Clinical Trials, 2004

"With over 60 years combined experience, the authors are ideally positioned to discuss the various statistical issues apparent in clinical trials, identifying alternative solutions, providing logical arguments for and against the various solutions. This book is also recommended for statisticians actively involved in the design, conduct, and analysis of clinical trial data (not only cancer clinical trials)."
Journal of Biopharmaceutical Statistics

"A concise, easily readable, and thorough summary…ALL medical oncology, radiation oncology, surgical oncology, and clinical research nurse academic training programs should provide this important text to trainees on Day 1."
—Charles R. Thomas Jr., MD, University of Texas Health Science Center at San Antonio, USA

"Succinct and focused…[This book] is clear, cogent, and practical. It is structured so that statisticians can use specific sections as starting point to develop shared understandings with investigators, study coordinators, and data managers…It has been useful to me and my clients, and I look forward to the second edition."
—Marlene Egger, University of Utah, USA

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Product Details

Table of Contents

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

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