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A systematic approach to all aspects of designing and conducting clinical trials The success or failure of clinical trials hinges on hundreds of details that need to be developed, often under less than ideal conditions. Written by one of the world's leading trialists, Clinical Trials Handbook: Design and Conduct provides clinicians with a complete guide to designing, conducting, and evaluating clinical trials—teaching them how to simplify the process and avoid costly mistakes. The author draws on his extensive clinical trials experience to outline all steps employed in setting up and running clinical trials, from budgeting and fundraising to publishing the results. Along the way, practical advice is offered while also addressing a mix of logistical, ethical, psychological, behavioral, and administrative issues inherent to clinical trials. Topics of coverage include: Protocols for drug masking, controls, and treatment randomization Consent, enrollment, eligibility, and follow-up procedures Different types of sample size design and data collection and processing Working with study centers, research staff, and various committees Monitoring treatment effects and performance, and ensuring quality control Data analysis and access policies for study data and documents Clinical Trials Handbook is invaluable for practicing clinicians and trialists who would like to learn more about or improve their understanding of the design and execution of clinical trials. The book is also an excellent supplement for courses on clinical trials at the graduate level.

Using examples and case studies from industry, academia and research literature, Randomized Clinical Trials provides a detailed overview of the key issues involved in designing, conducting, analysing and reporting randomized clinical trials. It examines the methodology for conducting Phase III clinical trials, developing the protocols, the practice for capturing, measuring, and analysing the resulting clinical data and their subsequent reporting. Randomized clinical trials are the principal method for determining the relative efficacy and safety of alternative treatments, interventions or medical devices. They are conducted by groups comprising one or more of pharmaceutical and allied health-care organisations, academic institutions, and charity supported research groups. In many cases such trials provide the key evidence necessary for the regulatory approval of a new product for future patient use. Randomized Clinical Trials provides comprehensive coverage of such trials, ranging from elementary to advanced level. Written by authors with considerable experience of clinical trials, Randomized Clinical Trials is an authoritative guide for clinicians, nurses, data managers and medical statisticians involved in clinical trials research and for health care professionals directly involved in patient care in a clinical trial context.

Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests. Devoted to both statisticians and non-statisticians who are involved in clinical trials, Part I of the book presents new concepts related to success probability estimation and their usefulness in clinical trials, and each section begins with a non-technical explanation of the presented concepts. Part II delves deeper into the techniques for success probability estimation and features applications to both reproducibility probability estimation and conservative sample size estimation. Success Probability Estimation with Applications to Clinical Trials: • Addresses the theoretical and practical aspects of the topic and introduces new and promising techniques in the statistical and pharmaceutical industries Features practical solutions for problems that are often encountered in clinical trials Includes success probability estimation for widely used statistical tests, such as parametric and nonparametric models Focuses on experimental planning, specifically the sample size of clinical trials using phase II results and data for planning phase III trials Introduces statistical concepts related to success probability estimation and their usefulness in clinical trials Success Probability Estimation with Applications to Clinical Trials is an ideal reference for statisticians and biostatisticians in the pharmaceutical industry as well as researchers and practitioners in medical centers who are actively involved in health policy, clinical research, and the design and evaluation of clinical trials.

The book is about both theoretical and practical aspects of Project Management in clinical trials. The audience may find explanation of different phenomena in modern clinical trials, for example, why some approaches in managing trials work and others – do not. In addition to this, the book should serve the purposes of business psychotherapy. The book is saturated with examples from real life and practical tips.

A thoroughly updated new edition of the essential reference on the design, practice, and analysis of clinical trials Clinical Trials Dictionary: Terminology and Usage Recommendations, Second Edition presents clear, precise, meticulously detailed entries on all aspects of modern-day clinical trials. Written and compiled by one of the world’s leading clinical trialists, this comprehensive volume incorporates areas of medicine, statistics, epidemiology, computer science, and bioethics—providing a treasure trove of key terms and ideas. This new edition continues to supply readers with the A–Z terminology needed to design, conduct, and analyze trials, introducing a vocabulary for the characterization and description of related features and activities. More than 300 new entries are now included, reflecting the current usage practices and conventions in the field, along with usage notes with recommendations on when to use the term in question. Detailed biographical notes highlight prominent historical figures and institutions in the field, and an extensive bibliography has been updated to provide readers with additional resources for further study. The most up-to-date work of its kind, Clinical Trials Dictionary, Second Edition is an essential reference for anyone who needs to report on, index, analyze, or assess the scientific strength and validity of clinical trials.

Clinical trials have revolutionized the way disease is prevented, detected and treated, and early death avoided, and they continue to be an expanding area of research. They are central to the work of pharmaceutical companies, and there are many academic and public sector organizations that conduct trials on a wide variety of interventions, including drugs, devices, surgical techniques, and changes in behaviour and lifestyle. A Concise Guide to Clinical Trials provides a comprehensive yet easy-to-read overview of the design, conduct and analysis of trials. It requires no prior knowledge on the subject as the important concepts are introduced throughout. There are chapters that distinguish between the different types of trials, and an introduction to systematic reviews, health-related quality of life and health economic evaluation. The book also covers the ethical and legal requirements in setting up a clinical trial due to an increase in governance responsibilities and regulations. This practical guidebook is ideal for busy clinicians and other health professionals who do not have enough time to attend courses or search through extensive textbooks. It will help anyone involved in undertaking clinical research, or those reading about trials. The book is aimed at: Those wishing to learn about clinical trials for the first time, or as a quick reference guide, for example as part of a taught course on clinical trials Health professionals who wish to conduct their own trials, or participate in other people’s studies People who work in pharmaceutical companies, grant funding organisations, or regulatory agencies

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.

Cluster randomised trials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions. Key features: Guides readers through the stages of conducting a trial, from recruitment to reporting. Presents a wide range of examples with particular emphasis on trials in health services research and primary care, with both principles and techniques explained. Topics are specifically presented in the order in which investigators think about issues when they are designing a trial. Combines information on the latest developments in the field together with a practical guide to the design and implementation of cluster randomised trials. Explains principles and techniques through numerous examples including many from the authors own experience. Includes a wide range of references for those who wish to read further. This book is intended as a practical guide, written for researchers from the health professions including doctors, psychologists, and allied health professionals, as well as statisticians involved in the design, execution, analysis and reporting of cluster randomised trials. Those with a more general interest will find the plentiful examples illuminating.

Praise for the Second Edition: “…a grand feast for biostatisticians. It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite.” —Journal of Clinical Research Best Practices The Third Edition of Design and Analysis of Clinical Trials provides complete, comprehensive, and expanded coverage of recent health treatments and interventions. Featuring a unified presentation, the book provides a well-balanced summary of current regulatory requirements and recently developed statistical methods as well as an overview of the various designs and analyses that are utilized at different stages of clinical research and development. Additional features of this Third Edition include: • New chapters on biomarker development and target clinical trials, adaptive design, trials for evaluating diagnostic devices, statistical methods for translational medicine, and traditional Chinese medicine • A balanced overview of current and emerging clinical issues as well as newly developed statistical methodologies • Practical examples of clinical trials that demonstrate everyday applicability, with illustrations and examples to explain key concepts • New sections on bridging studies and global trials, QT studies, multinational trials, comparative effectiveness trials, and the analysis of QT/QTc prolongation • A complete and balanced presentation of clinical and scientific issues, statistical concepts, and methodologies for bridging clinical and statistical disciplines • An update of each chapter that reflects changes in regulatory requirements for the drug review and approval process and recent developments in statistical design and methodology for clinical research and development Design and Analysis of Clinical Trials, Third Edition continues to be an ideal clinical research reference for academic, pharmaceutical, medical, and regulatory scientists/researchers, statisticians, and graduate-level students.

Clinical trials tasks and activities are widely diverse and require certain skill sets to both plan and execute. This book provides professionals in the field of clinical research with valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It discusses key obstacles such as challenges to patient recruitment, investigator and study site selection, and dealing with compliance issues. Through practical examples, professionals working with medical device clinical trials will discover the appropriate steps to take.