Association between household air pollution and child mortality in Myanmar using a multilevel mixed-effects Poisson regression with robust variance
Abstract Household air pollution (HAP) from solid fuel use (SFU) for cooking is a major public health threat for women and children in low and middle-income countries. This study investigated the associations between HAP and neonatal, infant, and under-five child mortality in Myanmar. The study cons...
Enregistré dans:
Auteurs principaux: | Juwel Rana, Rakibul M. Islam, Md Nuruzzaman Khan, Razia Aliani, Youssef Oulhote |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4545ac49a0e1410d9efa97cde6d6003f |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
par: N Zare,, et autres
Publié: (2010) -
Geographic weighted regression analysis of hot spots of anemia and its associated factors among children aged 6-59 months in Ethiopia: A geographic weighted regression analysis and multilevel robust Poisson regression analysis.
par: Getayeneh Antehunegn Tesema, et autres
Publié: (2021) -
Geographic weighted regression analysis of hot spots of anemia and its associated factors among children aged 6–59 months in Ethiopia: A geographic weighted regression analysis and multilevel robust Poisson regression analysis
par: Getayeneh Antehunegn Tesema, et autres
Publié: (2021) -
A new estimator for the multicollinear Poisson regression model: simulation and application
par: Adewale F. Lukman, et autres
Publié: (2021) -
Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression
par: Thomas-Martin Dutschmann, et autres
Publié: (2021)