Constructing Statistical Intervals for Small Area Estimates Based on Generalized Linear Mixed Model in Health Surveys

Generalized Linear Mixed Model (GLMM) has been widely used in small area estimation for health indicators. Bayesian estimation is usually used to construct statistical intervals, however, its computational intensity is a big challenge for large complex surveys. Frequentist approaches, such as bootst...

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Detalles Bibliográficos
Autores principales: Wang, Yan, Zhang, Xingyou, Lu, Hua, Croft, Janet B., Greenlund, Kurt J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336217/
https://www.ncbi.nlm.nih.gov/pubmed/35911620
http://dx.doi.org/10.4236/ojs.2022.121005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336217/
https://www.ncbi.nlm.nih.gov/pubmed/35911620
http://dx.doi.org/10.4236/ojs.2022.121005

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