Spatial heterogeneity and correlates of child malnutrition in districts of India.

BMC Public Health · 2018 · PMC6098604 · PMID 30119652

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highly significantno p-value reported

Finally, the highly significant error lag value from the estimated SEM models for each of the malnutrition prevalence (stunting, wasting and underweight) indicated that any shock in the omitted variables which were not present but may affect the prevalence of malnutrition was strongly likely to cause a change in the prevalence of malnutrition in the neighbouring districts.

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