Bayesian Methods for Measures of Agreement
Bayesian Methods for Measures of Agreement by Lyle D. Broemeling is a comprehensive resource published by Taylor & Francis Limited on June 30, 2020. This 340-page book is written in English and delves into the implementation of Bayesian inferences using WinBUGS, specifically for the design and analysis of agreement studies in medical and biostatistical contexts.
Readers will find a detailed exploration of methods aimed at assessing agreement among various participants in the diagnostic process. The book emphasizes the application of Bayesian analysis in estimation and hypothesis testing, making it a valuable reference for those interested in the intersection of mathematics, statistics, and medical research. With its focus on practical methodologies, this edition serves as a guide for professionals and researchers looking to enhance their understanding of agreement studies.
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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.
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