Cargando…
Maximum likelihood based analysis of equally spaced longitudinal count data with first-order antedependence and overdispersion
This manuscript implements a maximum likelihood based approach that is appropriate for equally spaced longitudinal count data with over-dispersion, so that the variance of the outcome variable is larger than expected for the assumed Poisson distribution. We implement the proposed method in the analy...
Autores principales: | Gamerman, Victoria, Guerra, Matthew, Shults, Justine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101264/ https://www.ncbi.nlm.nih.gov/pubmed/27933230 http://dx.doi.org/10.1186/s40064-016-3564-8 |
Ejemplares similares
-
Antedependence models for longitudinal data
por: Zimmerman, Dale L, et al.
Publicado: (2009) -
Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly Overdispersed Data, with Applications to Infectious Diseases
por: Lloyd-Smith, James O.
Publicado: (2007) -
The influence of a first-order antedependence model and hyperparameters in BayesCπ for genomic prediction
por: Li, Xiujin, et al.
Publicado: (2018) -
Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
por: Hilbe, Joseph M
Publicado: (2011) -
Dirichlet negative multinomial regression for overdispersed correlated count
data
por: Farewell, Daniel M., et al.
Publicado: (2013)