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A comparison study on modeling of clustered and overdispersed count data for multiple comparisons

Data collected in various scientific fields are count data. One way to analyze such data is to compare the individual levels of the factor treatment using multiple comparisons. However, the measured individuals are often clustered – e.g. according to litter or rearing. This must be considered when e...

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Detalles Bibliográficos
Autores principales: Kruppa, Jochen, Hothorn, Ludwig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042126/
https://www.ncbi.nlm.nih.gov/pubmed/35707260
http://dx.doi.org/10.1080/02664763.2020.1788518