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Dose-finding experiments define the safe dosage of a drug in development, in terms of the quantity given to a patient. Statistical methods play a crucial role in identifying optimal dosage. Used appropriately, these methods provide reliable results and reduce trial duration and costs. In practice, however, dose-finding is often done poorly, with widely used conventional methods frequently being unreliable, leading to inaccurate results. However, there have been many advances in recent years, with new statistical techniques being developed and it is important that these new techniques are…mehr

Produktbeschreibung
Dose-finding experiments define the safe dosage of a drug in development, in terms of the quantity given to a patient. Statistical methods play a crucial role in identifying optimal dosage. Used appropriately, these methods provide reliable results and reduce trial duration and costs. In practice, however, dose-finding is often done poorly, with widely used conventional methods frequently being unreliable, leading to inaccurate results. However, there have been many advances in recent years, with new statistical techniques being developed and it is important that these new techniques are utilized correctly. Statistical Methods for Dose-Finding Experiments reviews the main statistical approaches for dose-finding in phase I/II clinical trials and presents practical guidance on their correct use. * Includes an introductory section, summarizing the essential concepts in dose-finding. * Contains a section on algorithm-based approaches, such as the traditional 3+3 design, and a section on model-based approaches, such as the continual reassessment method. * Explains fundamental issues, such as how to stop trials early and how to cope with delayed or ordinal outcomes. * Discusses in detail the main websites and software used to implement the methods. * Features numerous worked examples making use of real data. Statistical Methods for Dose-Finding Experiments is an important collaboration from the leading experts in the area. Primarily aimed at statisticians and clinicians working in clinical trials and medical research, there is also much to benefit graduate students of biostatistics.
Autorenporträt
Sylvie Chevret, Hopital St Louis, Paris, France
Rezensionen
"This book is an important collaboration of leading experts in thearea. Primarily aimed at statisticians and clinicians working inclinical trials and medical research, there is also much to benefitgraduate students of biostatistics." (Zentralblatt MATH, 2011)

"It represents a good investment and would be a useful additionto the pharmaceutical researcher's library." (Technometrics,August 2008)

"This book will play an important role in establishing some ofthe recent innovative dose-finding methods in this fast evolvingfield." (Journal of Biopharmaceutical Statistics, September2007)

"...very valuable to anyone working in the field...a veryuseful and complete textbook for graduate education." (AIChEJournal, October 2007)

"...an easily readable comprehensive compilation of severaldecades of work in dose finding designs and issues..."(Journal of the American Statistical Association, September2007)