Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper

Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relationships between the various determinants of child stunting.

Detalles Bibliográficos
Autores principales: Rosenstock, Todd S., Yet, Barbaros
Formato: Journal Article
Lenguaje:Inglés
Publicado: BMJ 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/173684
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author Rosenstock, Todd S.
Yet, Barbaros
author_browse Rosenstock, Todd S.
Yet, Barbaros
author_facet Rosenstock, Todd S.
Yet, Barbaros
author_sort Rosenstock, Todd S.
collection Repository of Agricultural Research Outputs (CGSpace)
description Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relationships between the various determinants of child stunting.
format Journal Article
id CGSpace173684
institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
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spelling CGSpace1736842025-11-11T17:42:13Z Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper Rosenstock, Todd S. Yet, Barbaros modelling statistical data Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relationships between the various determinants of child stunting. 2024-03 2025-03-18T08:50:41Z 2025-03-18T08:50:41Z Journal Article https://hdl.handle.net/10568/173684 en Open Access application/pdf BMJ Rosenstock, T.S.; Yet, B. (2024) Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper. BMJ Paediatrics Open 8: e001983. ISSN: 2399-9772
spellingShingle modelling
statistical data
Rosenstock, Todd S.
Yet, Barbaros
Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title_full Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title_fullStr Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title_full_unstemmed Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title_short Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
title_sort statistical modelling of determinants of child stunting using secondary data and bayesian networks a ukri global challenges research fund gcrf action against stunting hub protocol paper
topic modelling
statistical data
url https://hdl.handle.net/10568/173684
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