In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs such as basket and umbrella trials have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology.
Real examples of flaws in previously reported clinical trials and how to avoid them. Chapters written by internationally recognized statisticians from academia and pharmaceutical companies.
Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others. Trial designs for rare diseases and small samples in oncology - Robert A. Methods for analysis of trials with changes from randomised treatment - Nicholas R.
Latimer and Ian R. The analysis of adverse events in randomized clinical trials - Jan Beyersmann, Claudia Schmoor. Susan Halabi , Ph. She has extensive experience in the design and analysis of clinical trials in oncology. Stefan Michiels , Ph. His areas of expertise are clinical trials, meta-analyses and prediction models in oncology. Stefan is the currently the chair of the biostatisticians at Unicancer, a French collaborative cancer clinical trials group. Resource Updated Description Instructions stat code book halabi michiels.
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Close Preview. Toggle navigation Additional Book Information. Summary There is an increasing need for educational resources for statisticians and investigators.
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.
Clinical Trials in Oncology, Third Edition
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.
Clinical Trials in Oncology - Stephanie Green, Jacqueline Benedetti, Angela Smith - Google книги
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. We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.
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Textbook of Clinical Trials in Oncology: A Statistical Perspective
Toggle navigation Additional Book Information. Description Table of Contents Reviews. Summary 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. Reviews "This book provides a very clear and concise overview of the main issues in the design, data management, and analysis of clinical trials.