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    978-1-43-981448-2
    May 9th 2012

Description

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.

Reviews

"This book provides a very clear and concise overview of the main issues in the design, data management, and analysis of clinical trials. Although the examples used are from oncology trials, the principles apply to all clinical trials and so will be of use to a wide audience. The book is well written and easy to read … recommended reading to anyone involved in the design and running of clinical trials, not just statisticians, although some familiarity with statistical terminology would help. … a very useful and accessible reference, which covers the essential statistical elements of designing and running clinical trials all in one book, which is extensively illustrated with real examples."

ISCB News, 57, June 2014

Praise for 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

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

Name: Clinical Trials in Oncology, Third Edition (Hardback)CRC Press 
Description: By Stephanie Green, Jacqueline Benedetti, Angela Smith, John Crowley. 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,...
Categories: Oncology, Medical Statistics & Computing