Development of a diagnostic predictive model for determining child stunting in Malawi: a comparative analysis of variable selection approaches.

ABSTRACT:

Background

Childhood stunting is a major indicator of child malnutrition and a focus area of Global Nutrition Targets for 2025 and Sustainable Development Goals. Risk factors for childhood stunting are well studied and well known and could be used in a risk prediction model for assessing whether a child is stunted or not. However, the selection of child stunting predictor variables is a critical step in the development and performance of any such prediction model. This paper compares the performance of child stunting diagnostic predictive models based on predictor variables selected using a set of variable selection methods.

Methods

Firstly, we conducted a subjective review of the literature to identify determinants of child stunting in Sub-Saharan Africa. Secondly, a multiv

SUBMITTER: Mkungudza J 

PROVIDER: S-EPMC11308741 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature