Analyzing Child Malnutrition in Bangladesh: Generalized Linear Mixed Model Approach

Authors

  • Tahmidul Islam Department of Statistics, Biostatistics & Informatics, Dhaka University, Dhaka-1000, Bangladesh
  • Md Golam Rabbani Department of Statistics, Biostatistics & Informatics, Dhaka University, Dhaka-1000, Bangladesh
  • Wasimul Bari Department of Statistics, Biostatistics & Informatics, Dhaka University, Dhaka-1000, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v64i2.54492

Keywords:

Child malnutrition, Generalized linear mixed model, Intra-cluster correlation, Stunting.

Abstract

Child malnutrition is a serious issue for overall child health and future development. Stunting is a key anthropometric indicator of child malnutrition. Because of the nature of sampling design used in Bangladesh Demographic Health Survey, 2011, responses obtained from children under same family might be correlated. Again, children residing in same cluster may also be correlated. To tackle this problem, generalized linear mixed model (GLMM), instead of usual fixed effect logistic regression model, has been utilized in this paper to find out potential factors affecting child malnutrition. Model performances have also been compared.

Dhaka Univ. J. Sci. 64(2): 163-167, 2016 (July)

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Published

2016-07-31

How to Cite

Islam, T., Rabbani, M. G., & Bari, W. (2016). Analyzing Child Malnutrition in Bangladesh: Generalized Linear Mixed Model Approach. Dhaka University Journal of Science, 64(2), 163–167. https://doi.org/10.3329/dujs.v64i2.54492

Issue

Vol. 64 No. 2 (2016)

Section

Articles