Advanced Bayesian Methods for Medical Test Accuracy [Hardcover]

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies.AdvancedBayesian Methods for Medical Test Accuracybegins with a review of the usual measures such as specificity, sensitivity, positive and negative predictive value, and the area under the ROC curve. Then the scope expands to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and those for which no gold standard is available.

Promoting accuracy and efficiency of clinical trials, tests, and the diagnostic process, this book:

• Enables the user to efficiently apply prior information via a WinBUGS package
• Presents many ideas for the first time and goes far beyond the two standard references
• Integrates reader agreement with different modalitiesX-ray, CT Scanners, and moreto study their effect on medical test accuracy
• Provides practical chapter-end problems

Useful for graduate students and consulting statisticians working in the various areas of diagnostic medicine and study design, this practical resource introduces the fundamentals of programming and executing BUGS, giving readers the tools and experience to successfully analyze studies for medical test accuracy.

Introduction
Introduction
Statistical Methods in Medical Test Accuracy
Datasets for This Book
Software
Bayesian Approach
References

Medical Tests and Preliminary Information
Introduction
Medical Imaging Tests
Other Medical Tests
Activities Involved in Medical Testing
Accuracy and Agrel