Hierarchical modeling of agreement
| Autor: | Emmanuel Lesaffre, Sophie Vanbelle, Dominique Declerck, Timothy Mutsvari |
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| Přispěvatelé: | Epidemiology, FHML Methodologie & Statistiek, RS: CAPHRI School for Public Health and Primary Care |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Male
Statistics and Probability Epidemiology Computer science Posterior probability Context (language use) Dental Caries rater computer.software_genre Hierarchical database model Set (abstract data type) Bayes' theorem symbols.namesake nested Cohen's kappa multilevel Statistics Humans Child Generalized estimating equation Dental Care for Children intraclass Observer Variation Likelihood Functions reliability Reproducibility of Results Bayes Theorem Markov chain Monte Carlo Markov Chains symbols Female Data mining Monte Carlo Method computer |
| Zdroj: | Statistics in Medicine, 31(28), 3667-3680. John Wiley & Sons Ltd. Statistics in Medicine, 31(28), 3667-3680. John Wiley & Sons Inc. |
| ISSN: | 0277-6715 |
| DOI: | 10.1002/sim.5424 |
| Popis: | Kappa-like agreement indexes are often used to assess the agreement among examiners on a categorical scale. They have the particularity of correcting the level of agreement for the effect of chance. In the present paper, we first define two agreement indexes belonging to this family in a hierarchical context. In particular, we consider the cases of a random and fixed set of examiners. Then, we develop a method to evaluate the influence of factors on these indexes. Agreement indexes are directly related to a set of covariates through a hierarchical model. We obtain the posterior distribution of the model parameters in a Bayesian framework. We apply the proposed approach on dental data and compare it with the generalized estimating equations approach. Copyright (C) 2012 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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