Broemeling L.D. Bayesian Methods for Measures of Agreement

Boca Raton: Chapman & Hall/CRC, 2009. — 326 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 1420083414, 9781420083415.Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.
The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.
Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.Introduction to AgreementAgreement and Statistics
The Bayesian Approach
Some Examples of Agreement
Sources of Information
Software and Computing
A Preview of the Book
ExercisesBayesian Methods of Agreement for Two RatersThe Design of Agreement Studies
Precursors of Kappa
Chance Corrected Measures of Agreement
Conditional Kappa
Kappa and Stratification
Weighted Kappa
Intraclass Kappa
Other Measures of Agreement
Agreement with a Gold Standard
Kappa and Association
Consensus
ExercisesMore than Two RatersKappa with Many Raters
Partial Agreement
Stratifi ed Kappa
Intraclass Kappa
The Fleiss Generalized Kappa
The G Coeffi cient and Other Indices
Kappa and Homogeneity
Introduction to Model Based Approaches
Agreement and Matching
ExercisesAgreement and Correlated ObservationsAn Example of Paired Observations
The Oden Pooled Kappa and Schouten Weighted Kappa
A Generalized Correlation Model
The G Coeffi cient and Other Indices of Agreement
Homogeneity with Dependent Data
Logistic Regression and Agreement
ExercisesModeling Patterns of AgreementNominal Responses
Ordinal Responses
More than Two Raters
Other Methods for Patterns of Agreement
Summary of Modeling and Agreement
ExercisesAgreement with Quantitative ScoresRegression and Correlation
The Analysis of Variance
Intraclass Correlation Coefficient for Agreement
Agreement with Covariates
Other Considerations with Continuous Scores
ExercisesSample Sizes for Agreement StudiesThe Classical and Bayesian Approaches to Power Analysis
The Standard Populations: Classical and Bayesian Approaches
Kappa, the G Coeffi cient, and Other Indices
The Logistic Linear Model
Regression and Correlation
The Intraclass Correlation
Bayesian Approaches to Sample Size
ExercisesAppendix A Bayesian StatisticsBayes Theorem
Prior Information
Posterior Information
Inference
Predictive Inference
Checking Model Assumptions
Sample Size Problems
Computing
ExercisesAppendix B Introduction to WinBUGSDownload
The Essentials
Execution
Output
Examples