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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

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  • Thirupathi Reddy Mokalla
  • Vishnu Vardhana Rao Mendu

Abstract

Background: The prevalence of stunting among under- three Indian children though decreased, still it is considered to be alarmingly high. In most of the previous studies, traditional (linear and logistic) regression analyses were applied. They were limited to encapsulated cross-distribution variations. The objective of the current study was to examine how the different determinants were heterogeneous in various percentiles of height for age (HAZ) distribution. Methods and findings: This article examined the change in the HAZ distribution of children and examined the relationships between the key co-variate trends and patterns in HAZ among children aged

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  • Thirupathi Reddy Mokalla & Vishnu Vardhana Rao Mendu, 2022. "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," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-22, May.
    • Handle: RePEc:plo:pone00:0265877
    DOI: 10.1371/journal.pone.0265877
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    References listed on IDEAS

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    4. Fenske, Nora & Kneib, Thomas & Hothorn, Torsten, 2011. "Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 494-510.
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