Quantifying intraclass correlations for count and time‐to‐event data

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorOliveira, Izabela R. C.-
Autor(es): dc.creatorMolenberghs, Geert-
Autor(es): dc.creatorDemétrio, Clarice G. B.-
Autor(es): dc.creatorDias, Carlos T. S.-
Autor(es): dc.creatorGiolo, Suely R.-
Autor(es): dc.creatorAndrade, Marcela C.-
Data de aceite: dc.date.accessioned2026-02-09T12:19:29Z-
Data de disponibilização: dc.date.available2026-02-09T12:19:29Z-
Data de envio: dc.date.issued2018-10-24-
Data de envio: dc.date.issued2018-10-24-
Data de envio: dc.date.issued2016-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/31438-
Fonte completa do material: dc.identifierhttps://onlinelibrary.wiley.com/doi/10.1002/bimj.201500093-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1159007-
Descrição: dc.descriptionThe intraclass correlation is commonly used with clustered data. It is often estimated based on fitting a model to hierarchical data and it leads, in turn, to several concepts such as reliability, heritability, inter‐rater agreement, etc. For data where linear models can be used, such measures can be defined as ratios of variance components. Matters are more difficult for non‐Gaussian outcomes. The focus here is on count and time‐to‐event outcomes where so‐called combined models are used, extending generalized linear mixed models, to describe the data. These models combine normal and gamma random effects to allow for both correlation due to data hierarchies as well as for overdispersion. Furthermore, because the models admit closed‐form expressions for the means, variances, higher moments, and even the joint marginal distribution, it is demonstrated that closed forms of intraclass correlations exist. The proposed methodology is illustrated using data from agricultural and livestock studies.-
Idioma: dc.languageen-
Publicador: dc.publisherWiley-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceBiometrical Journal-
Palavras-chave: dc.subjectGeneralized linear mixed model-
Palavras-chave: dc.subjectIntraclass correlation coefficient (ICC)-
Palavras-chave: dc.subjectOverdispersion-
Palavras-chave: dc.subjectPoisson distribution-
Palavras-chave: dc.subjectWeibull distribution-
Título: dc.titleQuantifying intraclass correlations for count and time‐to‐event data-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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