Broemeling Bayesian Biostatistics and Diagnostic Medicine

Erscheinungsjahr 2007
ISBN: 978-1-58488-768-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 216 Seiten

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.

With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and practical biomedical problems.

Zielgruppe

Biostatisticians and introductory-level graduate students studying biostatistics.

Autoren/Hrsg.

Broemeling, Lyle D.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Innere Medizin

Inhaltsverzeichnis

INTRODUCTION
Introduction
Statistical Methods in Diagnostic Medicine
Preview of Book
Datasets for Book
Software
References

DIAGNOSTIC MEDICINE
Introduction
Imaging Modalities
Activities in Diagnostic Medicine
Accuracy and Agreement
Developmental Trials for Imaging
Protocol Review and Clinical Trials
The Literature
References

OTHER DIAGNOSTIC PROCEDURES
Introduction
Sentinel Lymph Node Biopsy for Melanoma
Tumor Depth for Diagnosis of Metastatic Melanoma
A Biopsy of Non-Small Cell Lung Cancer
Coronary Artery Disease

BAYESIAN STATISTICS
Introduction
Bayes Theorem
Prior Information
Posterior Information
Inference
Sample Size
Computing
Exercises
References

BAYESIAN METHODS FOR DIAGNOSTIC ACCURACY
Introduction
Study Design
Bayesian Methods for Diagnostic Accuracy: Binary and Ordinal Data
Bayesian Methods for Test Accuracy: Quantitative Variables
Clustered Data
Comparing Accuracy between Modalities
Sample Size Determination
Exercises
References

REGRESSION AND TEST ACCURACY
Introduction
The Audiology Study
The ROC Curve and Patient Covariates
Exercises
References

AGREEMENT
Introduction
Agreement for Discrete Ratings
Agreement for a Continuous Response
Combining Reader Information
Exercises
References

DIAGNOSTIC IMAGING AND CLINICAL TRIALS
Introduction
Clinical Trials
The Protocol
Guidelines for Tumor Response
Bayesian Sequential Stopping Rules
Software for Clinical Trials
Examples
Exercises
References

OTHER TOPICS
Introduction
Imperfect Diagnostic Test Procedures
Test Accuracy and Survival Analysis
ROC Curves with a Non-Binary Gold Standard
Periodic Screening in Cancer
Decision Theory and Diagnostic Accuracy
Exercises
References