Statistical Methods for Dose-Finding ExperimentsISBN: 978-0-470-86123-3
Hardcover
336 pages
May 2006
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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 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.