A machine learning model for the identification of depressive symptoms among university students in Bangladesh
(2022)
Journal Article
Talukder, A., Hasan, M. M., Haq, I., & Shariful Islam, S. M. (2022). A machine learning model for the identification of depressive symptoms among university students in Bangladesh. Minerva psychiatry, 63(3), 237-244. https://doi.org/10.23736/s2724-6612.21.02167-9
Outputs (7)
Assessing association between paternal smoking status and child malnutrition in Albania: An application of ordinal regression model (2022)
Journal Article
Talukder, A., Hasan, M. M., & Asikunnaby. (2022). Assessing association between paternal smoking status and child malnutrition in Albania: An application of ordinal regression model. Human nutrition & metabolism, 27, https://doi.org/10.1016/j.hnm.2022.200143Background: In this study, an attempt has been made to seek out the impact of paternal smoking status over child malnutrition in Albania. Methods: For analysis purposes, data were extracted from Albania Demographic and Health Survey (ADHS), 2017/18.... Read More about Assessing association between paternal smoking status and child malnutrition in Albania: An application of ordinal regression model.
Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh? (2021)
Journal Article
Hasan, M. M., Talukder, A., Alam, M. K., Hossain, M. K., & Asikunnaby. (2021). Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh?. Heliyon, 7(3), Article e06556. https://doi.org/10.1016/j.heliyon.2021.e06556People living in urban areas are usually more aware of their health issues due to the availability and accessibility of health care facilities. Several studies have illustrated anxiousness, attitudes, and perceptions among urban people during COVID-1... Read More about Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh?.
Bayes Linear Emulation of Simulated Crop Yield (2021)
Book Chapter
Hasan, M. M., & Cumming, J. A. (2021). Bayes Linear Emulation of Simulated Crop Yield. In Y. P. Chaubey, S. Lahmiri, F. Nebebe, & A. Sen (Eds.), Applied Statistics and Data Science:Proceedings of Statistics 2021 Canada, Selected Contributions (145-151). Springer Verlag. https://doi.org/10.1007/978-3-030-86133-9_7The analysis of the output from a large-scale computer simulation experiment can pose a challenging problem in terms of size and computation. We consider output in the form of simulated crop yields from the Environmental Policy Integrated Climate (EP... Read More about Bayes Linear Emulation of Simulated Crop Yield.
A Bayesian non-linear hierarchical framework for crop models based on big data outputs (2020)
Presentation / Conference
Hasan, M. M., & Cumming, J. (2020, December). A Bayesian non-linear hierarchical framework for crop models based on big data outputs. Paper presented at 13th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2020), King's College London, England
Factors affecting depressive symptoms among university students in Bangladesh (2020)
Journal Article
Talukder, A., Hasan, M. M., & Shariful Islam, S. M. (2020). Factors affecting depressive symptoms among university students in Bangladesh. Minerva Psichiatrica, 61(3), https://doi.org/10.23736/s0391-1772.20.02089-0
Early Marriage in Bangladesh: A Cross-Sectional Study Exploring the Associated Factors (2020)
Journal Article
Talukder, A., Hasan, M. M., Razu, S. R., & Hossain, Z. (2020). Early Marriage in Bangladesh: A Cross-Sectional Study Exploring the Associated Factors. Journal of international women's studies, 21(1), 68-78This cross-sectional study intends to explore the factors associated with the prevalence of early marriage among female teenagers in Bangladesh. Data from the Bangladesh Demographic and Health Survey (BDHS, 2014) were used to meet the study objective... Read More about Early Marriage in Bangladesh: A Cross-Sectional Study Exploring the Associated Factors.