Application of quantile regression to examine changes in the distribution of Height for Age (HAZ) of Indian children aged 0-36 months using four rounds of NFHS data.

Thirupathi Reddy Mokalla Vishnu Vardhana Rao Mendu

Published in: PloS one (2022)

The outcome of various covariates working differently across the HAZ distribution was suggested by quantile regression. The major discrepancies in different aspects were underlined by socioeconomic and demographic aspects among the Indian population. The heterogeneity of this effect was shown using quantile regression. Policymakers may choose to concentrate on the most important factors when formulating policies to lessen the prevalence of stunting in India.

Keyphrases

body mass index
risk factors
single cell
big data
physical activity
machine learning
deep learning