Cargando…
Modeling zero inflation and overdispersion in provisional Covid-19 death counts
Autores principales: | Effiong, Andem, Odimba, Ugochukwu, Iqbal, Daanial, Oluwalana, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444171/ http://dx.doi.org/10.1016/j.annepidem.2022.06.038 |
Ejemplares similares
-
Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
por: Sharker, Sharmin, et al.
Publicado: (2020) -
A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data
por: Bertoli, Wesley, et al.
Publicado: (2021) -
Modelling zero-truncated overdispersed antenatal health care count data of women in Bangladesh
por: Hossain, Zakir, et al.
Publicado: (2020) -
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
por: Feng, Cindy Xin
Publicado: (2021) -
Spatial Scan Statistics for Models with Excess Zeros and Overdispersion
por: de Lima, Max Sousa, et al.
Publicado: (2013)