Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression

Poisson regression can be challenging with sparse data, in particular with certain data constellations where maximum likelihood estimates of regression coefficients do not exist. This paper provides a comprehensive evaluation of methods that give finite regression coefficients when maximum likelihoo...

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Detalles Bibliográficos
Autores principales: Joshi, Ashwini, Geroldinger, Angelika, Jiricka, Lena, Senchaudhuri, Pralay, Corcoran, Christopher, Heinze, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829730/
https://www.ncbi.nlm.nih.gov/pubmed/34931909
http://dx.doi.org/10.1177/09622802211065405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829730/
https://www.ncbi.nlm.nih.gov/pubmed/34931909
http://dx.doi.org/10.1177/09622802211065405

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