Cargando…
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...
Autores principales: | Wang, Yan, Zhang, Xingyou, Lu, Hua, Croft, Janet B., Greenlund, Kurt J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
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 |
Ejemplares similares
-
Using 3 Health Surveys to Compare Multilevel Models for Small Area Estimation for Chronic Diseases and Health Behaviors
por: Wang, Yan, et al.
Publicado: (2018) -
A Multilevel Approach to Estimating Small Area Childhood Obesity Prevalence at the Census Block-Group Level
por: Zhang, Xingyou, et al.
Publicado: (2013) -
Comparison of Methods for Estimating Prevalence of Chronic Diseases and Health Behaviors for Small Geographic Areas: Boston Validation Study, 2013
por: Wang, Yan, et al.
Publicado: (2017) -
Intercensal and Postcensal Estimation of Population Size for Small Geographic Areas in the United States
por: Wang, Y, et al.
Publicado: (2020) -
A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
por: Pierannunzi, Carol, et al.
Publicado: (2016)