Bayesian Methods for Measures of Agreement Epub

Author: Lyle D. Broemeling
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1420083414

Bayesian Methods for Measures of Agreement (Chapman & Hall/CRC Biostatistics Series)

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. Medical books Bayesian Methods for Measures of Agreement . 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 Medical books Bayesian Methods For Measures Of Agreement By Lyle D. Broemeling Hardcover B. Store Search search Title, ISBN and Author Bayesian Methods for Measures of Agreement by Lyle D. Broemeling Estimated delivery 3-12 business days Format Hardcover Condition Brand New Employs a Bayesian approach to provide statistical inferences based on various models of intra- and inter rater agreement. This book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. It discusses how to successfully design and analyze an agreeme

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Store Search search Title, ISBN and Author Bayesian Methods for Measures of Agreement by Lyle D. Broemeling Estimated delivery 3-12 business days Format Hardcover Condition Brand New Employs a Bayesian approach to provide statistical inferences based on various models of intra- and inter rater agreement. This book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. It discusses how to successfully design and analyze an agreeme

Broemeling, an biostatistics consultant, has written this introduction to statistical measures of agreement that use Bayesian approach to inference, showing scientists, researchers and medical professionals how to estimate the differences between raters. The author uses the WinBUGS software program to test these hypotheses and estimates, and analyzes cross-classified data that involves complex models. Real-world data taken from studies at the U. of Texas MD Anderson Cancer Center is used to illustrate applications for these statistics in clinical trials, sports and even legal outcomes. Annotat

author lyle d broemeling format hardback language english publication year 23 12 2008 series chapman hall crc biostatistics series subject social sciences subject 2 sociology anthropology professional title bayesian methods for measures of agreement author broemeling lyle d author publisher chapman hall publication date dec 23 2008 pages 424 binding hardcover edition 1 st dimensions 6 38 wx 9 49 hx 0 91 d isbn 1420083414 subject mathematics probability statistics general description broemeling

"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 likeli

Medical Book Bayesian Methods for Measures of Agreement

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.