Bayesian Methods for Measures of Agreement - Couverture souple

Broemeling, Lyle D.

Couverture souple

ISBN 10 : 0367577380 ISBN 13 : 9780367577384

Editeur : Routledge, 2020

Synopsis

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.

A propos du livre

À propos de l'auteur

Lyle D. Broemeling

À propos de la quatrième de couverture

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 0367577380
• ISBN 13: 9780367577384
• Reliure: Broché
• Nombre de pages: 340
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne