Estimating the burden of child malnutrition across parliamentary constituencies in India: A methodological comparison.
Ontology highlight
ABSTRACT: In India, data on key developmental indicators used to formulate policies and interventions are routinely available for the administrative unit of districts but not for the political unit of parliamentary constituencies (PC). Recently, Swaminathan et al. proposed two methodologies to generate PC estimates using randomly displaced GPS locations of the sampling clusters ('direct') and by building a crosswalk between districts and PCs using boundary shapefiles ('indirect'). We advance these methodologies by using precision-weighted estimations based on hierarchical logistic regression modeling to account for the complex survey design and sampling variability. We exemplify this application using the latest National Family Health Survey (NFHS, 2016) to generate PC-level estimates for two import
SUBMITTER: Kim R
PROVIDER: S-EPMC6384327 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA