Identifying factors associated with child malnutrition in Ghana: a cross-sectional study using Bayesian multilevel ordinal logistic regression approach
Objective In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below 5 years in Ghana.Design The study used a secondary data source, specifically the Ghanaian Multiple...
Main Authors: | Wahab Abdul Iddrisu, Opoku Gyabaah |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2023-12-01
|
Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/13/12/e075723.full |
Similar Items
-
The Comparison between Ordinal Logistic Regression and Random Forest Ordinal in Identifying the Factors Causing Diabetes Mellitus
by: Assyifa Lala Pratiwi Hamid, et al.
Published: (2023-08-01) -
Determinants and spatial factors of anemia in women of reproductive age in Democratic Republic of Congo (drc): a Bayesian multilevel ordinal logistic regression model approach
by: Martin Abysina Soda, et al.
Published: (2024-01-01) -
Logistic regression models for ordinal response variables /
by: O'Connell, Ann A.
Published: (2006) -
Assessing association between paternal smoking status and child malnutrition in Albania: An application of ordinal regression model
by: Ashis Talukder, et al.
Published: (2022-03-01) -
Dietary diversity and child malnutrition in Ghana
by: Raymond Boadi Frempong, et al.
Published: (2017-05-01)