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Advanced Bayesian methods for medical test accuracy

Author: Lyle D Broemeling
Publisher: Boca Raton : CRC Press, 2012.
Series: Chapman & Hall/CRC biostatistics series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity, sensitivity, positive and negative predictive value, and the area  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lyle D Broemeling
ISBN: 9781439838792 1439838798 1322614385 9781322614380
OCLC Number: 775570655
Notes: "A Chapman & Hall book."
Description: 1 online resource (xix, 450 pages) : illustrations.
Contents: 1. Introduction --
2. Medical tests and preliminary information --
3. Preview of the book --
4. Fundamentals of diagnostic accuracy --
5. Regression and medical test accuracy --
6. Agreement and test accuracy --
7. Estimating test accuracy with an imperfect reference standard --
8. Verification bias and test accuracy --
9. Test accuracy and medical practice --
10. Accuracy of combined tests --
11. Bayesian methods of meta-analysis.
Series Title: Chapman & Hall/CRC biostatistics series.
Responsibility: Lyle D. Broemeling.
More information:

Abstract:

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. Advanced Bayesian Methods for Medical Test Accuracy begins 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 standa.

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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, Read more...

 
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