Bayesian biostatistics and diagnostic medicine (2007)

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Bayesian methods are being used more often than ever before in biology and medicine. For example, at the University of Texas MD Anderson Cancer Center, Bayesian sequential stopping rules routinely are used for the design of clinical trials. This book is based on the author’s experience working with a variety of researchers, including radiologists, pathologists, and medical oncologists. The majority of that experience has been with the Division of Diagnostic Imaging, where radiologists determine the extent of disease among patients undergoing treatment. Diagnosis, via medical imaging, is essential in order to assess the effect of the various therapies provided to the patient. Another source of information for the author has been the ability to work with medical oncologists in their design of Phase I, II, and III clinical trials. The author has found Bayesian methods for the design and analysis of clinical trials to be quite useful because prior information, in the form of previous related studies, is always available and easily incorporated into the design of future studies.

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