EMPIRICAL MODELS FOR LONGITUDINAL POST-NATAL GROWTH
Full random effects model (FREM)
Describe the average effects of time-invarient predictors on height-for-age z-score (HAZ) in children living in low and middle income countries (LMIC).
0 - 15 years
Predictors (other than time)
Sex, country, Birth length, birth weight, ratio of children to adults, child dependency ratio, crowding index, location of delivery, breastfeeding duration, father's age, father's education, breastfeeding practice, father's height, mother's age at first delivery, gestational age at birth, access to safe water, access to healthcare, health service utilization, home type, income quartile, mother's age at birth, maternal empowerment quartile, mother's education, mother's height, mother's marital status, number of adult females, number of adult males, number of children in the home, maternal number of female children, maternal number of male children, number of persons in house, number of rooms in house, maternal parity, race, sanitary facility type, socioeconomic status of parent, smoked during pregnancy
Do we have a tool for visualizing model output/predictions? If not, do we plan to?
Yes, a Shiny app has alredy been developed.
Model for HAZ is being updated to include a broader set of the longitudinal data in the HBGDki repository. Model is also being extended to weight-for-age z-score (WAZ).