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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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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 |