Faculty Profile
Dr. Mohammad Anamul Haque
Assistant Professor
Contact Information
Biography
please visit :
personal webpage: https://haquemdanamul.github.io/
Orcid id: https://orcid.org/0000-0003-4461-1594
Scopus author id: https://www.scopus.com/authid/detail.uri?authorId=57217575126
Education
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PhD in Statistics, University of Padova, Italy. Title of dissertation: Model-based prediction on the cumulative incidence functions and sample size calculation for competing risks survival data.
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M.S. in Biostatistics, University of Hasselt, Belgium. Title of dissertation: User interface for group sequential design for International Drug Development Institute
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M.S.(Thesis) in Statistics, SUST. Title of dissertation: “Tea Production in Bangladesh: Trend, Growth & Technical Efficiency”
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B.Sc.(Hons) in Statistics, SUST
Research Interests
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Clinical Trials
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Survival analysis
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Bayesian analysis
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App developing using R
Active Research Project
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Haque, M. A. (2023-2024). Principal Investigator. Hierarchical modeling and machine learning techniques in measuring health systems' capacity to face infectious disease pandemics in nine lower- and lower-middle-income countries. Funded by University Grants Commission (UGC) of Bangladesh.
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Kawsar & Haque (2023-2024). Co-Investigator: Bayesian Hierarchical Modelling of Non-Communicable Diseases among Adult Population in Sylhet. Financed by SUST Research Centre.
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Haque, M. A., & Cortese, G. (2023). A simulation study among regression approaches in competing risks survival data.
Previous Research Project
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2021, Drug development, University of California San Diego
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2020, COndiVIDi: unlock the knowledge project organized by UNIPDADI Padova for SARSCoV-2 Epidemiological surveillance area. University of Padova, Italy
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2019, Data Research Camp in San Servolo Island, Venice, Italy
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2017, Sample size computations interface for International Drug Development Institute (IDDI), Belgium
(https://haquemdanamul.shinyapps.io/update_session/)
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2010, Project work “Food Security Strategies of the People Living in Haor Areas: Status and Prospects.”
Funded by USAID andEuropean Commission
Main responsinility: Questionnaire follow-up.
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2009, Report Card Survey at Transparency International Bangladesh (TIB) . Main responsinility: Monitor group collaborations.
Journal Publish
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1. Haque et al (2024). The Impact of Curriculum Reform on Students and Teachers: A Cross-sectional Study from Bangladesh. Journal of Curriculum Studies, Taylor and Francis Ltd. (Submitted)
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2. Hossain, M.S., Ahmed, T.S., Haque, M.A., Chowdhury, M.A.B., Uddin, M.J. (2023). Prevalence of unqualified sources of antimalarial drug prescription for children under the age of five: a study in 19 low- and middle-income countries. Published 21 March 2024 on Plos One
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3. Ali, M., Williams, A., Widderick, M., Haque, M.A., Kalaipandian, S., & Adkins, S. (2024). Climate-induced shifts in the phenology and reproductive processes of Avena sterilis ssp. Pest Management Science. Wiley. (Submitted)
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4. Khan, M. A. A.; Babu, M. R.; Ullah, M. O.; Haque, M.A. et al., (2024), Potential Association between Allergenic Food Exposure and Skin Disease in Bangladesh: An Application of Principal Component Logistic Regression (PCLR); Health Science Report, Wiley, published: 29 Sep 2024.
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5. Haque, M. A., & Cortese, G. (2024). Sample size for competing risks survival analysis in fixed and group-sequential designs. Statistical Methods and Applications (SMAP). Springer (Under final review)
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6. Haque, M. A., & Cortese, G. (2023). Cumulative Incidence Functions for competing risks survival data from subjects with Covid-19. Mathematics 2023, 11(17), 3772; https://doi.org/10.3390/math11173772. Scopus indexed (https://www.scopus.com/authid/detail.uri?authorId=57217575126))
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7. Ali, M., Williams, A., Widderick, M., Haque, M.A., Adkins, S. (2023). Drought stress affects the reproductive biology of Avena sterilis ssp. ludoviciana. Land 2023, 12(9), 1745. Scopus indexed (https://www.scopus.com/authid/detail.uri?authorId=57217575126)
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8. Haque, M. A., Hossain, M. Z., & Alam, M. B. (2010). Concentration and elasticity measurement of selected tea companies in Bangladesh: an econometric analysis. Journal of Socioeconomic Research and Development, 7(3), 873-879.
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9. Baten, A., Kamil, A. A., & Haque, M. A. (2010). Productive efficiency of tea industry: A stochastic frontier approach. African journal of Biotechnology, 9(25), 3808-3816. (Scopus indexed, Google scholar Citation 52)
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10. Baten, M. A., Kamil, A. A., & Haque, M. A. (2009). Modeling technical inefficiencies effects in a stochastic frontier production function for panel data. African Journal of Agricultural Research, 4(12), 1374-1382. (Scopus indexed, Google scholar Citation 77)
External Affiliations
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Member of the Royal Statistical Society (RSS)
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Ex Member, Transparency International
Conference
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1. Khan, M. A. A.; Babu, M. R.; Ullah, M. O.; Haque, M.A. et al., (2023). Allergenic Foods Related with Skin Diseases in Bangladesh: An Application of Principal Component Logistic Regression (PCLR); Brawijaya International Conference on Statistical Modeling and Data Science; organized by University of Brawijaya , Indonesia, 26-27 September, 2023.
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2. Haque, M. A., & Cortese, G. (2021). Guidelines for Sample Size Calculation under Competing Risks Survival data in Gs-design. Royal Statistical Society (RSS), Manchester, UK, September 06-09 (2021).
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3. Haque, M. A., & Cortese, G. (2021). Sample Size Computation for Competing Risks Survival Data in Gs design. In Book of Short Paper SIS 2021, Italian Statistical Society(Perna, C., Salvati, N. and Schirripa Spagnolo, F.) pp. 584–589, Pearson, ISBN: 9788891927361.
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4. Haque, M.A. and Hossain, M. Z. (2009). Tea production, cultivated area and yield in Bangladesh- A time series analysis held on 22 May, 2009 at Bangladesh Statistical Association.
Teaching
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2020 Stat consultancy with Progress Lab Srl. Padova, Department of Statistics, University of Padova, Italy
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2023 Dept. of Statatistics, SUST, Courses: Regression Analysis-I, Generalized Linear Models, Statistics for Chemical Engineering & Polymer Sciences.
Graduate Supervision
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M.S. Thesis (Co-Supervisor): Rabiul Islam Akash (Session: 2021-22) - Assessing the family specific health performance using classical and Bayesian techniques (On going)
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M.S. Thesis (Co-Supervisor): Sheikh Sifat Sadikee (Session: 2021-22) - Modeling Non-Communicable Diseases in Sylhet: A Bayesian Approach (On going)