Open AccessAnalyzing Child Malnutrition in Bangladesh: Generalized Linear Mixed Model Approach
Author(s) -
Tahmidul Islam,
Md. Golam Rabbani,
Wasimul Bari
Publication year - 2016
Publication title -
the dhaka university journal of science
Language(s) - English
Resource type - Journals
eISSN - 2408-8528
pISSN - 1022-2502
DOI - 10.3329/dujs.v64i2.54492
Subject(s) - malnutrition , anthropometry , logistic regression , environmental health , pediatrics , medicine , demography , mathematics , statistics , sociology , pathology
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)