Md Mehedi Hasan Bhuiyan - Academia.edu (original) (raw)

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Papers by Md Mehedi Hasan Bhuiyan

Research paper thumbnail of The Rule of link functions on Binomial Regression Model: A Cross Sectional Study on Child Malnutrition, Bangladesh

Link function is a key tool in the binomial regression model defined as non-linear model under GL... more Link function is a key tool in the binomial regression model defined as non-linear model under GLM approach. It transforms the nonlinear regression to linear model with converting the interval to the probability. The binomial model with link functions (logit, probit, cloglog and cauchy) are applied on the proportional of child malnutrition age 0-5 years in each household level. Multiple Indicator Cluster survey (MICS)-2019, Bangladesh was conducted by a joint cooperation of UNICEF and BBS. The survey covered 64000 households using two stage stratified sampling technique, where around 21000 household have children age 0-5 years. We use bi-variate analysis to find the statistical association between response and sociodemographic features. In the binary regression model, probit model provides the best result based on the lowest standard error of covariates and goodness of fit test (deviance, AIC).

Research paper thumbnail of A Sociodemographic Assessment of Infant Malnutrition in Rural Area, Bangladesh: Logistic Regression Approach

International Journal of Current Science Research and Review, 2024

This study investigates the association between socio-demographic factors and infant child (0-1 y... more This study investigates the association between socio-demographic factors and infant child (0-1 year) malnutrition defined by underweight, stunting and wasting, in rural areas, Bangladesh. Survey data, Multiple Indicator Cluster Survey (MICS) 2019 executed by UNICEF and Bangladesh Bureau of Statistics (BBS), is used in the study. The percentage of undernutrition is 17.08% for underweight out of 3571 sample, 18% for stunted out of 3504 sample, 9.8% for wasted out of 3470 sample with omitting missing value. Statistical methods, ANOVA, chi-square test and sampling weighted logistic regression model, are used to figure out impact of individual socio-demographic factors on child malnutrition. The variables gender, receiving prenatal care, delivery place, parents education, wealth index, child weight at birth, geographical division, and women age group at birth, are significantly associated with malnourished children (P-value: 1%, 5% or 10%). Odds of being malnutrition is lower among female children, educated parents and rich family. Prevalence of child underweight is higher among mother physical disability, childbirth weight. The undernutrition, stunting and wasting, are highly likely among the children of disabled mother. The presence of underweight and wasting is higher in Sylhet Division, lower in Mymenshingh Division respectively, while the prevalence of stunting is higher in Mymenshingh, Rajshahi, Rangpur and Sylhhet Division.

Research paper thumbnail of The Rule of link functions on Binomial Regression Model: A Cross Sectional Study on Child Malnutrition, Bangladesh

Link function is a key tool in the binomial regression model defined as non-linear model under GL... more Link function is a key tool in the binomial regression model defined as non-linear model under GLM approach. It transforms the nonlinear regression to linear model with converting the interval to the probability. The binomial model with link functions (logit, probit, cloglog and cauchy) are applied on the proportional of child malnutrition age 0-5 years in each household level. Multiple Indicator Cluster survey (MICS)-2019, Bangladesh was conducted by a joint cooperation of UNICEF and BBS. The survey covered 64000 households using two stage stratified sampling technique, where around 21000 household have children age 0-5 years. We use bi-variate analysis to find the statistical association between response and sociodemographic features. In the binary regression model, probit model provides the best result based on the lowest standard error of covariates and goodness of fit test (deviance, AIC).

Research paper thumbnail of A Sociodemographic Assessment of Infant Malnutrition in Rural Area, Bangladesh: Logistic Regression Approach

International Journal of Current Science Research and Review, 2024

This study investigates the association between socio-demographic factors and infant child (0-1 y... more This study investigates the association between socio-demographic factors and infant child (0-1 year) malnutrition defined by underweight, stunting and wasting, in rural areas, Bangladesh. Survey data, Multiple Indicator Cluster Survey (MICS) 2019 executed by UNICEF and Bangladesh Bureau of Statistics (BBS), is used in the study. The percentage of undernutrition is 17.08% for underweight out of 3571 sample, 18% for stunted out of 3504 sample, 9.8% for wasted out of 3470 sample with omitting missing value. Statistical methods, ANOVA, chi-square test and sampling weighted logistic regression model, are used to figure out impact of individual socio-demographic factors on child malnutrition. The variables gender, receiving prenatal care, delivery place, parents education, wealth index, child weight at birth, geographical division, and women age group at birth, are significantly associated with malnourished children (P-value: 1%, 5% or 10%). Odds of being malnutrition is lower among female children, educated parents and rich family. Prevalence of child underweight is higher among mother physical disability, childbirth weight. The undernutrition, stunting and wasting, are highly likely among the children of disabled mother. The presence of underweight and wasting is higher in Sylhet Division, lower in Mymenshingh Division respectively, while the prevalence of stunting is higher in Mymenshingh, Rajshahi, Rangpur and Sylhhet Division.