Zero adjusted models with applications to analysing helminths count data

BACKGROUND: It is common in public health and epidemiology that the outcome of interest is counts of events occurrence. Analysing these data using classical linear models is mostly inappropriate, even after transformation of outcome variables due to overdispersion. Zero-adjusted mixture count models...

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Detalles Bibliográficos
Autores principales: Chipeta, Michael G, Ngwira, Bagrey M, Simoonga, Christopher, Kazembe, Lawrence N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289350/
https://www.ncbi.nlm.nih.gov/pubmed/25430726
http://dx.doi.org/10.1186/1756-0500-7-856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289350/
https://www.ncbi.nlm.nih.gov/pubmed/25430726
http://dx.doi.org/10.1186/1756-0500-7-856

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