Bayesian Biostatistics And Diagnostic Medicine
by Lyle D. Broemeling /
2007 / English / PDF
3.5 MB Download
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.
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.
After focusing on the wide range of areas where diagnostic medicine
is used, the book introduces Bayesian statistics and the estimation
of accuracy by sensitivity, specificity, and positive and negative
predictive values for ordinal and continuous diagnostic
measurements. The author then discusses patient covariate
information and the statistical methods for estimating the
agreement among observers. The book also explains the protocol
review process for cancer clinical trials, how tumor responses are
categorized, how to use WHO and RECIST criteria, and how Bayesian
sequential methods are employed to monitor trials and estimate
sample sizes.
After focusing on the wide range of areas where diagnostic medicine
is used, the book introduces Bayesian statistics and the estimation
of accuracy by sensitivity, specificity, and positive and negative
predictive values for ordinal and continuous diagnostic
measurements. The author then discusses patient covariate
information and the statistical methods for estimating the
agreement among observers. The book also explains the protocol
review process for cancer clinical trials, how tumor responses are
categorized, how to use WHO and RECIST criteria, and how Bayesian
sequential methods are employed to monitor trials and estimate
sample sizes.
With many tables and figures, this book enables readers to conduct
a Bayesian analysis for a large variety of interesting and
practical biomedical problems.
With many tables and figures, this book enables readers to conduct
a Bayesian analysis for a large variety of interesting and
practical biomedical problems.
