Bayesian Biostatistics and Diagnostic MedicineThere 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. |
Contents
Chapter 1 Introduction | 1 |
Chapter 2 Diagnostic Medicine | 7 |
Chapter 3 Other Diagnostic Procedures | 21 |
Chapter 4 Bayesian Statistics | 27 |
Chapter 5 Bayesian Methods for Diagnostic Accuracy | 59 |
Chapter 6 Regression and Test Accuracy | 101 |
Other editions - View all
Common terms and phrases
agreement Bayes theorem Bayesian analysis Bayesian approach Bayesian inference Bayesian methods beta binary binomial biopsy breast cancer Broemeling Chapter clinical trials computed coronary artery credible interval diagnostic imaging diagnostic medicine diagnostic score diagnostic test Dirichlet disease endpoint Equation example false positive G-coefficient Gibbs Gibbs sampling gold standard Kappa parameter lead-time likelihood function mammography MDACC measures median melanoma Minitab modalities negative normal null hypothesis number of patients outcome Parameter Mean Phase II trials population posterior analysis posterior density posterior distribution posterior mean prior distribution prior information probability of stopping procedure protocol radiologists random readers receiver operating characteristic regression response to therapy ROC area ROC curve scenario screening sensitivity standard deviation statistical stopping rule Suppose test accuracy toxicity treatment tumor uniform prior vague prior values variability variance WinBUGS X-ray Zhou θ θ θ θ φ
References to this book
An Introductory Philosophy of Medicine: Humanizing Modern Medicine James A. Marcum Limited preview - 2008 |