Modelling zero-truncated overdispersed antenatal health care count data of women in Bangladesh

Overdispersion in count data analysis is very common in many practical fields of health sciences. Ignorance of the presence of overdispersion in such data analysis may cause misleading inferences and thus lead to incorrect interpretations of the results. Researchers should account for the consequenc...

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Detalles Bibliográficos
Autores principales: Hossain, Zakir, Akter, Rozina, Sultana, Nasrin, Kabir, Enamul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959570/
https://www.ncbi.nlm.nih.gov/pubmed/31935274
http://dx.doi.org/10.1371/journal.pone.0227824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959570/
https://www.ncbi.nlm.nih.gov/pubmed/31935274
http://dx.doi.org/10.1371/journal.pone.0227824

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