Before revision:  Methods: Using a non-linear multi-level model , we decompose variation in height-for-age z-scores (HAZ) from 1, 430,986 children across 63 countries into two components: 1) "accrued HAZ" shaped by environmental inputs-undernutrition, infectious disease, inadequate sanitation,  and 2) a country-specific "basal HAZ" independent of such inputs.
After revision:  Methods: Using a non-linear multi-level model , we decompose variation in height-for-age z-scores (HAZ) from 1, 430,986 children across 63 countries into two components: 1) "accrued HAZ" shaped by environmental inputs-undernutrition, infectious disease, inadequate sanitation, poverty), and 2) a country-specific "basal HAZ" independent of such inputs.