Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors....
Guardado en:
Autores principales: | Mandana Rezaeiahari, Clare C Brown, Mir M Ali, Jyotishka Datta, J Mick Tilford |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5403236c92bd481b82549a95f0cdfc08 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
por: Mandana Rezaeiahari, et al.
Publicado: (2021) -
The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.
por: Joao Paulo Souza, et al.
Publicado: (2012) -
Geographic and racial variation in premature mortality in the U.S.: analyzing the disparities.
por: Mark R Cullen, et al.
Publicado: (2012) -
Persistent racial disparities in cervical cancer screening with Pap test
por: Cassidi C. McDaniel, et al.
Publicado: (2021) -
The burden of eclampsia: results from a multicenter study on surveillance of severe maternal morbidity in Brazil.
por: Juliana C Giordano, et al.
Publicado: (2014)