Clinical trials remain the most important vehicle for improving the care of cancer patients. This text presents the fundamental components and challenges involving clinical investigations. Leading experts discuss the critical issues covering the spectrum of important topics from planning to application. The book has a foreword by Samuel A. Wells, Jr., MD, Professor of Surgery, Duke University Medical Center, Durham, NC, former Director of the American College of Surgeons and Founder of the American College of Surgeons Oncology Group.

Scientists and clinicians seek a new paradigm that could improve the efficiency, cost-effectiveness, and overall success rate of cancer clinical trials, while maintaining the highest standards of quality. To explore innovative paradigms for cancer clinical trials and other ways to improve their quality, the National Cancer Policy Forum held a workshop, Improving the Quality of Cancer Clinical Trials, in Washington, DC. The main goals of the workshop were to examine new approaches to clinical trial design and execution that would: (1) better inform decisions and plans of those responsible for developing new cancer therapies (2) more rapidly move new diagnostic tests and treatments toward regulatory approval and use in the clinic (3) be less costly than current trials The resulting workshop summary will serve as input to the deliberations of an Institute of Medicine committee that will develop consensus-based recommendations for moving the field of cancer clinical trials forward.

The National Clinical Trials Network (NCTN) supported by the National Cancer Institute (NCI) has played an integral role in cancer research and in establishing the standard of care for cancer patients for more than 50 years. Formerly known as the NCI Clinical Trials Cooperative Group Program, the NCTN is comprised of more than 2,100 institutions and 14,000 investigators, who enroll more than 20,000 cancer patients in clinical trials each year across the United States and internationally. Recognizing the recent transformative advances in cancer research that necessitate modernization in how cancer clinical trials are run, as well as inefficiencies and other challenges impeding the national cancer clinical trials program, the NCI asked the IOM to develop a set of recommendations to improve the federally funded cancer clinical trials system. These recommendations were published in the 2010 report, A National Cancer Clinical Trials System for the 21st Century: Reinvigorating the NCI Cooperative Group Program. In early 2011, the NCPF and the American Society of Clinical Oncology (ASCO) held a workshop in which stakeholders discussed the changes they planned to implement in response to the IOM goals and recommendations. Two years later, on February 11-12, 2013, in Washington, DC, the NCPF and ASCO reconvened stakeholders to report on the changes they have made thus far to address the IOM recommendations. At this workshop, representatives from the NCI, the NCTN, comprehensive cancer centers, patient advocacy groups, the Food and Drug Administration (FDA), industry, and other stakeholders highlighted the progress that has been made in achieving the goals for a reinvigorated national cancer clinical trials system. Implementing a National Cancer Clinical Trials System for the 21st Century is a summary of that workshop.

From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive two-stage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection.

A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques described range from descriptive and exploratory analysis to multivariate regression methods. Uses illustrative data from actual clinical trials and observational studies to describe methods of analysing and reporting results. Also reviews the features and performance of statistical software available for applying the methods of analysis discussed.

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

Surgical education is a rapidly expanding area of surgical research and career interest, and as the Association for Academic Surgery (AAS) Fall Courses (www.aasurg.org) and International courses offer more and more specialty tracking there is a greater need for an accompanying textbook to supplement the material presented in the courses.

A balanced treatment of the theories, methodologies, and design issues involved in clinical trials using statistical methods There has been enormous interest and development in Bayesian adaptive designs, especially for early phases of clinical trials. However, for phase III trials, frequentist methods still play a dominant role through controlling type I and type II errors in the hypothesis testing framework. From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive Methods provides comprehensive coverage of both Bayesian and frequentist approaches to all phases of clinical trial design. Before underpinning various adaptive methods, the book establishes an overview of the fundamentals of clinical trials as well as a comparison of Bayesian and frequentist statistics. Recognizing that clinical trial design is one of the most important and useful skills in the pharmaceutical industry, this book provides detailed discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II, and III clinical trials as well as an introduction to phase IV trials. Many practical issues and challenges arising in clinical trials are addressed. Additional topics of coverage include: Risk and benefit analysis for toxicity and efficacy trade-offs Bayesian predictive probability trial monitoring Bayesian adaptive randomization Late onset toxicity and response Dose finding in drug combination trials Targeted therapy designs The author utilizes cutting-edge clinical trial designs and statistical methods that have been employed at the world's leading medical centers as well as in the pharmaceutical industry. The software used throughout the book is freely available on the book's related website, equipping readers with the necessary tools for designing clinical trials. Clinical Trial Design is an excellent book for courses on the topic at the graduate level. The book also serves as a valuable reference for statisticians and biostatisticians in the pharmaceutical industry as well as for researchers and practitioners who design, conduct, and monitor clinical trials in their everyday work.