Bayesian Biostatistics and Diagnostic Medicine

Bayesian Biostatistics and Diagnostic Medicine
Author: Lyle D. Broemeling
Publisher: CRC Press
Total Pages: 214
Release: 2007-07-12
Genre: Mathematics
ISBN: 1584887680

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There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Exploring Bayesian statistics at an introductory level, Bayesian Biostatistics and Diagnostic Medicine illustrates how to apply these methods to solve important problems in medicine and biology.


Bayesian Biostatistics and Diagnostic Medicine
Language: en
Pages: 214
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2007-07-12 - Publisher: CRC Press

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There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Explorin
Advanced Bayesian Methods for Medical Test Accuracy
Language: en
Pages: 482
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

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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 a
Bayesian Biostatistics
Language: en
Pages: 702
Authors: Donald A. Berry
Categories: Mathematics
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

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This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing r
Bayesian Analysis of Time Series
Language: en
Pages: 280
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2019-04-16 - Publisher: CRC Press

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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain th
Elementary Bayesian Biostatistics
Language: en
Pages: 400
Authors: Lemuel A. Moye
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

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Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors a