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Institute of Statistical Research and Training

ISRT, University of Dhaka

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Dr. Md Hasinur Rahaman Khan

Professor

Office: Room No. 209 (1st floor)
Phone: 01725106661
Email: hasinur@isrt.ac.bd

My CV

My ISRT Webpage: www.isrt.ac.bd/people/hasinur

My DU Site: https://www.du.ac.bd/faculty/faculty_details/ISR/1005

My Teaching Site: https://sites.google.com/view/khanteaching

My Corona Analysis site: https://sites.google.com/view/khanteaching/corona

My 2022 FIFA World Cup Football Prediction (judgment) Sheet [On the eve of the start of the World Cup last November 20, I published my predictions about World Cup football on social media (Facebook). By predicting all the games of the first and second rounds, and the quarter-finals, which can reach the semi-finals, I mentioned that I would tell you later about who can reach the finals. This prophecy has then been discussed many times on electronic media, Ekattor TV. On December 3, I disclosed the finalists (Argentina, after beating France by 3-2) and the winner in a discussion on Ekattor TV. I also published it in an article in Bangla Tribune newspaper on 5th December. According to this prediction, Argentina-France will play in the World Cup final in 2022, and Argentina shall be the world champion. Strikingly, my prediction result was precisely corrected as Argentina beat France]

A New Book (ডেটা সায়েন্স: কী, কেন, কীভাবে?) published on February 21, 2024

Online Survey Link: https://docs.google.com/forms/d/e/1FAIpQLSclHCMJkL-SO07bg_GKxCPA3RmJ5RgvhXtHzVpWPVC_tKrNbQ/viewform?usp=sf_link

Education

  • Ph.D. in Statistics (Warwick, UK)
  • MSc in Statistics (Warwick, UK)
  • MSc in Applied Statistics (Dhaka)
  • BSc in Applied Statistics (Dhaka)

Awards and Honors

  • Dhaka University Science Faculty Dean’s Honor Award 2019 (received in 2023) by the University of Dhaka, Bangladesh
  • International Society for Clinical Biostatistics Conference Awards for Scientists (CASc) 2016 by the International Society for Clinical Biostatistics, given at ISCB 2016 Conference held in August 2016, Birmingham, UK
  • Dhaka University Science Faculty Dean’s Honor Award 2015 (received in 2016) by the University of Dhaka, Bangladesh
  • International Society for Clinical Biostatistics Conference Awards for Scientists (CASc) 2015 by the International Society for Clinical Biostatistics, given at ISCB 2015 Conference held in August 2015, Utrecht, Netherlands
  • Dhaka University Science Faculty Dean’s Honor Award 2013 (received in 2014) by the University of Dhaka, Bangladesh
  • Centre for Research in Statistical Methodology (CRiSM) scholarship by the Department of Statistics, Warwick University, UK for Ph.D. study (2009-13)
  • Department Bursary by the Department of Statistics, Warwick University, UK for M.Sc. study (2007-08)

Research Grants

  • Determinants of Inequities in Access to Healthcare Among Hijra People in Bangladesh, University of Dhaka, 2023-2024
  • Vulnerability to Poverty in Bangladesh, UGC of Bangladesh, 2022-2023
  • The impact of food insecurity on health status, suicidal ideation, and quality of life among adults living in poverty: A study in urban slums of Bangladesh (with Prof. Dr. Tamanna Howlader), University of Dhaka, 2021-2022
  • Impact of The Covid-19 Pandemic on Student’s University Education in Bangladesh (with 25 researchers), Data Analytics Solution in Bangladesh (DaSiB), 2020
  • Factors Influencing Road Accidents in Oman: Evidence from National Survey Data (with Dr. Faisal Ababneh), SQU, Oman, 2019-20
  • Change-point and Spatio-temporal Analysis of Climate Data in Bangladesh (with Paritosh K. Roy), Ministry of Science and Technology, Bangladesh Govt., 2017-18
  • Poverty and Inequality Mapping in Bangladesh, UGC of Bangladesh, 2017-18
  • Trends and Determinants of Common Non-communicable Diseases in Bangladesh: Evidence from Recent BDHS Studies (with Tahmina Akter), UGC of Bangladesh, 2017-18
  • Determinants of Diabetes Mellitus in Oman (with Dr. Faisal Ababneh), SQU, Oman, 2017-18
  • Non-communicable diseases and their mapping in Oman (with Dr. Faisal Ababneh), SQU, Oman, 2015-17
  • Literacy and literate life expectancy in Oman (with Dr. M Mazharul Islam), SQU, Oman, 2015-17
  • Changepoint analysis of earthquake data in Bangladesh, UGC of Bangladesh, 2015-16
  • Disease mapping in Bangladesh (with Dr. M Shafiqur Rahman), UGC of Bangladesh, 2013-14
  • Detailed gender and spatial scenario of literate life expectancy at birth in Bangladesh, UGC of Bangladesh, 2013-14

Research Interests and Overview

Hasinur Khan works in high-dimensional data analysis (both censored and complete). His main research interests are variable selection, model selection with regularized techniques, and statistical inference with censored data as found in fields like Statistical Genomics, Bioinformatics, Biostatistics, etc. He is also interested in working in Statistical Computing, Machine Learning, Public Health, Bayesian Statistics, and Social Statistics. Besides, he is interested in statistical and data science consultancy, which includes– general advice on applying statistical methods, including study design, data analysis interpretation, policy implications, and all statistical aspects of business and academic research.

He published over 46 publications, two books, and 6 R packages. He supervised many graduate and undergraduate research works and taught a variety number of courses both at home and abroad. He attended and presented research works at over 21 international conferences and workshops held in 12 countries. He has received several awards, including the prestigious Conference Award for Scientists (CASc) of the International Society for Clinical Biostatistics (ISCB) for two successive years, 2015 and 2016, for outstanding research from the developing countries, the Dhaka University Science Faculty Dean’s Award for 2014, 2016 and 2019 for research excellence. He has obtained more than a dozen national and international research grants. Dr. Khan is also a member of the institutional review board of the Bangladesh Biomedical Foundation. He serves as an editor for PLOS One, Chest, Journal of Biomedical Analytics, etc., and a scientific committee member for different international conferences, including the International Conference on Fuzzy Systems and Data Mining (FSDM 2019), the 2nd International Conference on Machine Learning and Intelligent Systems (MLIS 2020, MLIS 2023), and the International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2022, PRAI 2023, PRAI2024), the 6th International Conference on Control and Computer Vision (ICCCV 2024), the 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024), 7th International Conference on Digital Medicine and Image Processing (DMPI2024). He is a member of the technical committee for the National Primary Education Survey 2022. He was the founding president of the Institute of Statistical Research and Training Alumni Association (ISRTAA) executive committee for 2018-2022. He is the managing director of the Data Analytics Solution in Bangladesh (DaSiB), a virtual platform.

Current Research Works

  • Variable selection for promotion time cure rate models with a class of adaptive elastic net techniques (with Prof. Dipankar Bandyopadhyay, Virginia Commonwealth University, USA)
  • Cure Rate Accelerated Failure Time Model with Spatial Frailty (with Faiaz Rumman Khan)
  • Embedded Likelihood Function-based Estimating Equations for AFT Models under Clustered Censored Data (with Dip Das)
  • Estimation and Prediction Procedures for Survival Data with LightGBM (with Md. Saifur Rahman Mazumder)
  • Analysis of Clustered Survival Data with Dependent Censoring (with Afsana Dil Afroze)
  • Disagreement Based Variable Selection Method for High-dimensional Censored Data (with Suborna Sultana)
  • Fertility Projection Overviews and Dynamics for Bangladesh (with Dr. Mazharul Islam)
  • Change-point and Spatio-temporal Analysis of Climate Data in Bangladesh (with Paritosh K. Roy)
  • LightGBM for Cox Regression in Competing Risk Framework (with Nofel Ahmed)

  • Narrowest Significance Pursuit Technique for Detecting Multiple Change Points in Accelerated Failure Time Models (Samia Ashrafi)

Current Ph.D. Students

  • Shakil Ahmed: The research topic is “Two-Stage Variable Selection Algorithm Based on Penalized Techniques and Random Forest for Survival Data”
  • Nasrin Sultana: The research topic is “Joint Copula-frailty Approach to Model Clustered Survival Data with Dependent Censoring“
  • Shahriar Nayeem: The research topic is “Factors Influencing Climate Change in Urban Areas of Bangladesh: A Machine Learning Approach”

Current MS Thesis Students (2022-2023)

  • Mahim Md. Muntashir Pramanik (Topic: More Robust Regularized Parametric Survival Modeling to Gain Efficient Risk Prediction)
  • Shirin Sultana (Topic: Unveiling the Dynamics of Survival Models: Integrating Landmarking and Competing Risks Using Deep Learning)
  • Iftikhar Ahmed Shovon (Topic: Quantifying the Impact of Meteorology and Traffic on Air Quality: A Regularized M-Quantile Regression Approach with Adaptive Lasso and Adaptive Elastic Net)

Publications (recently selected)

  • M. Mohsin, S. Mahmud, A. U. Mian, P. Hasan, A. Muyeed, M. T. Ali, F. F. Ahmed, A. Islam, M. M. Rahman, M. Islam, M. H. R. Khan, and M. S. Rahman (August 2022). Side effects of COVID-19 vaccines and perceptions about COVID-19 and its vaccines in Bangladesh: A Cross-sectional study, Vaccine: X, Volume 12, 100207, doi: 10.1016/j.jvacx.2022.100207.
  • M.H.R. Khan and M. Akhter (June 2022). Ranking Based Variable Selection for Censored Data Using AFT Models. Communications in Statistics – Simulation and Computation, 53(6): 2917-2939, doi: 10.1080/03610918.2022.2092639.
  • S. Mahmud, M. Mohsin, F. Sumona and M.H.R. Khan (November, 2021). Redefining Homogeneous Climate Regions in Bangladesh Using Multivariate Clustering Approaches. Natural Hazards, doi: 10.1007/s11069-021-05120-x.
  • A. Mimi and M.H.R. Khan (October, 2021). Variable Selection for Censored Data Using Modified Correlation Adjusted coRrelation (MCAR) Scores. Statistics in Medicine, 40 (23): 5046-5064, doi: 10.1002/sim.9110.
  • M.H.B. Siam, M.M. Hasan, S.M. Tashrif, M.H.R. Khan, E. Raheem, and M.S. Hossain (June 2021). Insights into the first seven months of COVID-19 pandemic in Bangladesh: Lessons learned from a high-risk country. Heliyon. Volume 7, Issue 8. doi: 10.1016/j.heliyon.2021.e07385.
  • Z.Z. Sultana, F.U. Hoque, J. Beyene, M.A. Islam, M.H.R. Khan, S. Ahmed, D.H. Hawlader, and A. Hossain (January 2021). HIV Infection and Multidrug-Resistant Tuberculosis: A Systematic Review and Meta-analysis. BMC Infectious Diseases, 51, Article 21. doi: 10.1186/s12879-020-05749-2.
  • M.H.R. Khan and A. Hossain (October 2020). Machine Learning Approaches Reveal that Number of Tests Does Not Matter to Predict Global COVID-19 Confirmed Cases. Frontiers in Artificial Intelligence, 3:561801. doi: 10.3389/frai.2020.561801.  
  • M. Ali, G.U. Ahsan, R. Khan, M.H.R. Khan and A. Hossain (October 2020). Immediate impact of stay-at-home orders to control COVID-19 transmission on mental well-being in Bangladeshi adult population: Patterns, Explanations, and future directions. BMC Research Notes, Volume 13, Article number 494.
  • M. S. Al-balushi, M. S. Ahmed, M. M. Islam, and M.H.R. Khan (May, 2020). Multilevel Poisson regression modeling to identify factors influencing the number of children ever born to married women in Oman. Journal of Statistics & Management  Systems,  23(8): 1357-1373. 
  • M. M. Islam, F. Ababneh, T. Akter and M.H.R. Khan (January, 2020). Low birth weight in Jordan level, trends, risk factors and implications for under-five mortality: A population-based study. Eastern Mediterranean Health Journal, WHO, 26(10): 1273-1284. doi:10.26719/emhj.20.096.
  • M.H.R. Khan, A. Bhadra and T. Howlader (October 2019). Stability Selection for Lasso, Ridge and Elastic Net Implemented with AFT Models. Statistical Applications in Genetics and Molecular Biology, 18(5), 20170001, https://doi.org/10.1515/sagmb-2017-0001.
  • M.B. Hossain, S.K. Mistry, M. Mohsin and M.H.R. Khan (August 2019). Trends and determinants of perinatal mortality in Bangladesh. PLoS ONE, 14(8): e0221503. https://doi.org/10.1371/journal.pone.0221503.
  • M.M. Islam, M.H.R. Khan and T. Howlader (June 2019). Modified Profile Likelihood Estimation for the Weibull Regression Models in Survival Analysis. Communications in Statistics – Theory and Methods, 48(9): 2329-2343.
  • P.K. Roy, M.H.R. Khan, T. Akter and M.S. Rahman (April, 2019). Exploring socio- demographic-and geographical-variations in the prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data. Spatial and Spatio-temporal Epidemiology, 29: 71-83.
  • M.H.R. Khan and J.E.H. Shaw (March 2019). Variable Selection for Accelerated Lifetime Models with Synthesized Estimation Techniques. Statistical Methods in Medical Research, 28(3): 937-952.
  • M.M. Islam, F. Ababneh and M.H.R. Khan (July, 2018). Consanguineous Marriage in Jordan: An Update. Journal of Biosocial Science,  50(4): 573-578.
  • M.B. Hossain and M.H.R. Khan (July 2018). Role of Parental Education on Reduction of Prevalence of Childhood Undernutrition in Bangladesh. Public Health Nutrition, 21(10): 1845-1854.
  • M.H.R. Khan  (March 2018). On The Performance of Adaptive Pre-processing Technique in Analysing High-dimensional Censored Data. Biometrical Journal, 60(4): 687-702; winner of the ISCB awards for scientists for 2016.
  • M.B. Hossain, M.H.R. Khan, F. Ababneh, and J.E.H. Shaw (January 2018). Identifying Factors Influencing Contraceptive Use in Bangladesh: Evidence from BDHS 2014 Data, BMC Public Health, 18(1):192 (doi: 10.1186/s12889-018-5098-1).
  • T.T. Islam and M.H.R. Khan (August, 2017). Optimal Portfolio Determination for Developing Country’s Vulnerable Stock Market Data. Journal of Statistics & Management Systems. 20(3): 337-354.
  • M.H.R. Khan and J.E.H. Shaw (September, 2016). On Dealing with Censored Largest Observations under Weighted Least Squares. Journal of Statistical Computation and Simulation,  86(18): 3758-3776. Software
  • M.H.R. Khan and J.E.H. Shaw (May, 2016). Variable Selection for Survival Data with a Class of Adaptive Elastic Net Techniques. Statistics and Computing, 26(3): 725-741. Software
  • M.H.R. Khan, A. M. Azharul Islam and F. Ababneh (March, 2016). Substantial Gender Gap Reduction in Bangladesh Explained by the Proximity Measure of Literacy and Life Expectancy. Journal of Applied Statistics, 43(13): 2377-2395.
  • M.H.R. Khan and J.E.H. Shaw (January 2016). Robust bias estimation for Kaplan-Meier Survival Estimator with Jackknifing. Journal of Statistical Theory and Practice, 10(1): 7-19. Software

Book (selected):

Preprint/Working Paper (selected):

  • Yesar Ahmed Oshan, Begum Zainab, Dipankar Bandyopadhyay. Factors Influencing The First and Second Peak of COVID-19 Global Cases: A Survival Analysis. Published in medRxiv as a preprint on September 16, 2021. Doi: 10.1101/2021.09.13.21263497.
  • With Md. Hasanul Banna Siam, Md Mahbub Hasan, Enayetur Raheem, Mahbubul H Siddiqee,  Mohammad Sorowar Hossain. Insights into the first wave of the COVID-19 pandemic in Bangladesh: Lessons learned from a high-risk country. Published in medRxiv as a preprint on August 6, 2020. Doi: 10.1101/2020.08.05.20168674.
  • With Ahmed Hossain, Mohammad Ali, Gias Ahsan. (May 2020). Mental well-being in the Bangladeshi healthy population during nationwide lockdown over COVID-19: an online cross-sectional survey. Published in medRxiv as a preprint on May 18, 2020. Doi: 10.1101/2020.05.14.20102210.
  • With Tamanna Howlader (May 2020). Visualizing the COVID-19 pandemic in Bangladesh using coxcombs: A tribute to Florence Nightingale. Preprint (medRxiv), doi:10.1101/2020.05.23.20110866.
  • With Tamanna Howlader (May 2020). Breaking the back of COVID-19: Is Bangladesh doing enough testing?
    Preprint (medRxiv), doi:10.1101/2020.05.09.20096123.
  • With Tamanna Howlader and Md Mazharul Islam (May 2020) Battling the COVID-19 Pandemic: Is Bangladesh Prepared? Preprint (medRxiv), doi:10.1101/2020.04.29.20084236.
  • With Ahmed Hossain (April 2020), Countries are Clustered but Number of Tests is not Vital to Predict Global COVID-19 Confirmed Cases: A Machine Learning Approach. Preprint (medRxiv), doi: 10.1101/2020.04.24.20078238.
  • With Ahmed Hossain (April 2020), COVID-19 Outbreak Situations in Bangladesh: An Empirical Analysis. Preprint (medRxiv), doi: 10.1101/2020.04.16.20068312.
  • With Shaila Sharmin (September 2017). Analysis of Unobserved Heterogeneity via Accelerated Failure Time Models Under Bayesian and Classical Approaches. Preprint (arXiv:2001391).
  • With Anamika Bhadra and Tamanna Howlader (April, 2016). Stability Selection for Lasso, Ridge and Elastic Net Implemented with AFT Models. Preprint (arXiv:1604.07311).
  • With Md. Mazharul Islam (March, 2016). Improved Likelihood Estimation for the Generalized Extreme Value and the Inverse Gaussian Lifetime Distributions. Preprint (arXiv:1603.08388).

My paper on Google Scholar; ResearchGate, ORCID, Publon

Software

  • R packages available from CRAN:

    • mapReasy (2017): For producing Administrative Boundary Map with Additional Features Embedded
    • DNAseqtest (2016): For generating and testing DNA sequences
    • MPlikelihoodWB (2016): For computing modified profile likelihood estimates for Weibull shape and regression parameters
    • AdapEnetClass (2013): This provides a class of adaptive elastic net methods for high-dimensional censored data
    • jackknifeKME (2013): For obtaining jackknife estimates of Kaplan-Meier estimators or integrals
    • imputeYn (2012): For imputing the last largest censored observation/observations under weighted least squares

Conferences/Talks (selected)

  • “Unlocking Sustainable Development Goals: The Role of AI and Data Science”, in the conference “BCSIR Congress 2023“, 8–10 March 2024, Dhaka, Bangladesh. [Talk]
  • “Machine Learning Approaches Reveal That the Number of Tests Doesn’t Matter to the Prediction of Global Confirmed COVID-19 Cases”, in the conference “OHOW 2023 – The 2nd International Symposium on One Health, One World”, 6–8 December 2023, Dhaka University, Dhaka, Bangladesh. [Talk]
  • “Implementation of Gradient Boosting for Survival Analysis with Competing Risk“, in the Applied Data Science Conference, July 4-6, 2023, Shanghai, China. [Talk]
  • “Artificial Intelligence, Machine Learning, and Big Data: what do we know and expect?“, in The BCSIR Congress-2022, December 1-3, 2022, Dhaka, Bangladesh. [Keynote Talk]
  • “Statistical and Machine Learning  Approaches for Survival Analysis,” in The International Symposium on Advanced Statistical Data Analysis and Operational Research (iADORE2020), December 7-8, 2020, (virtually hosted by UTM (Malaysia), ISRT (Bangladesh) and UNAND (Indonesia). [Keynote Talk]
  • “Change-point and Spatio-temporal Analysis of Climate Data in Bangladesh” (winner of the WBTF conference fund) presented at The International Environmental Statistics Conference, August 26-27, 2019, Kunming, China. [Talk]
  • “Ranking Based Variable Selection for Censored Data Using AFT Models” (winner of the WBTF conference fund) presented in ISI World Statistics Congress 2019, August 18 – 23, 2019, Kuala Lumpur, Malaysia. [Poster]
  • “Desire for Children Still Norm in Bangladesh: Evidence from National Surveys Using Machine Learning Techniques” presented at the 2018 International Symposium on Big Data and Applied Statistics (ISBDAS2018), November 2-4, 2018, Guangzhou, China. [Keynote Talk]
  • “Variable Selection for AFT Models Using Generalized Linear Mixed Modeling Approach” (winner of the IBS travel grant) presented at International Biometric Conference (IBC) 2018, July 8-13, Barcelona, Spain. [Talk]
  • “Ranking Based Variable Selection for Censored Data Using AFT Models” (winner of the CFDC conference fund) presented in the International Society for Clinical Biostatistics (ISCB) 2017 conference, July 9 – 13, 2017, Vigo, Spain. [Poster]
  • “Incidence and Risk Factors for Small Size at Birth in Bangladesh” (winner of the ISI and WB fund) presented in Quantitative Methods for Public Health Researchers of the SAARC Countries Workshop, December 28-30, 2016, Calcutta University, Kolkata, India. [Poster]
  • “Literacy and Literate Life Expectancy in Oman” was presented on December 25, 2016, in the Department of Statistics and Mathematics, Sultan Qaboos University, Oman. [Talk]
  • “On The Performance of Adaptive Pre-processing Technique in Analysing High-dimensional Censored Data” presented in International Society for Clinical Biostatistics Conference (ISCB2016) 2016, August 21-25, Birmingham, UK (winner of the conference awards for scientists). [Talk]
  • “Stability Selection for Lasso, Ridge and Elastic Net Implemented with AFT Models” presented in International Society for Clinical Biostatistics Conference (ISCB2015), 2015, August 23-27, Utrecht, the Netherlands (winner of the conference awards for scientists). [Talk]
  • “Literate Life Expectancy: A Proximity Measure of Literacy and Life Expectancy” (winner of the ISI and WB fund) presented in Statistics and Society international workshop, 2015, April 4-6, Sardar Patel University, Anand, Gujarat, India. [Talk]
  • “Variable Selection with The Modified Buckley–James Method and The Dantzig Selector for High-Dimensional Survival Data” was presented on November 20, 2014, in the Department of Statistics and Mathematics, Sultan Qaboos University, Oman. [Talk]
  • “Variable Selection with The Modified Buckley–James Method and The Dantzig Selector for High-Dimensional Survival Data” (winner of the ISI and WB fund) presented in “59th ISI World Statistics Congress; 2013“, August 25-30, Hong Kong, China. [Talk]
  • “Variable Selection with The Modified Buckley–James Method and The Dantzig Selector for High-Dimensional Survival Data” presented in “Young Researchers Meetings; 2012“, June 19, Statistics Department, University of Warwick, UK. [Talk]
  • “On Some Aspects of Weighting under Right Censoring” presented in “34th Research Students Conference in Probability and Statistics; 2011“, April 04-07, University of Cambridge, UK. [Talk]
  • “Variable Selection Technique for AFT Models with Regularized Weighted Least Squares” presented in “Young Researchers Meetings; 2010“, December 16, Statistics Department, University of Warwick, UK. [Talk]
  • “Penalized regression approaches to variable selection for AFT models in high dimensions” presented in “31st Annual Conference of the International Society for Clinical Biostatistics; 2010“, August 20-September 02, Montpellier, France. [Poster]
  • “Bayesian and Non-Bayesian Variable Selection for Parametric AFT Models in High Dimensions” presented in “9th Valencia International Meeting on Bayesian Statistics 2010“, June 03-08, Benidorm, Spain. [Poster]
  • “The Bayesian Elastic Net and Related Methods” presented in “Model Uncertainty Workshop; 2010“, May 30-June 01, University of Warwick, UK. [Poster]
  • “Penalized Weighted Least Squares Variable Selection Method for AFT Models with High Dimensional Covariates” presented in ”The 33rd Research Students’ Conference in Probability and Statistics 2010“, April 12-15, University of Warwick, UK. [Talk]
  • ”The Sensitivity of Priors in Bayesian Variable Selection for Parametric AFT Models in High Dimensions” presented in ”The 30th Annual Conference of the International Society for Clinical Biostatistics (ISCB) 2009“, August 23-27, University of Economics, Prague, Czech Republic. [Talk]
  • ”Bayesian Variable Selection Methods for Parametric AFT Models in High Dimensions” presented in ”The 32nd Research Students’ Conference in Probability and Statistics 2009“, March 23-26, Lancaster University, UK. [Talk]

Forthcoming Conferences

Ph.D. and MSc Theses
  • Variable Selection and Estimation Procedures for High-Dimensional Survival Data. Unpublished PhD Thesis, Department of Statistics, University of Warwick, UK. Supervisor: Dr. Ewart Shaw.
  • Multilevel Logistic Regression Analysis of Contraceptive Prevalence in Bangladesh. Unpublished MSc Thesis 2008 (PDF), Department of Statistics, University of Warwick, UK. Supervisor: Dr. Ewart Shaw.
  • Interpretation of the Odds Ratio from Logistic Regression after A Transformation of the Covariate Vector: An Application to BDHS Child Mortality Data. Unpublished MSc Thesis (2001), ISRT, University of Dhaka. Supervisor: Dr Shahadut Hossain.  Thesis abstract.

MS Thesis Supervision (recent)

  • 2022-23: Machine Learning Methods in Dynamic Prediction under a Mixed Model Landmarking Framework. By Nabil Ahmed Utsho
  • 2022-23: Partial Linear Modeling Using Kaplan-Meier Weights with Censored Survival Data. By Riyadul Islam 
  • 2021-22: Detection of Multiple Change Points in Survival Analysis with Narrowest Signi cant Pursuit Technique. By Samia Ashrafi (Winner of the 2023 ISCB Conference Scientist Award)
  • 2021-22: Implementation of Gradient Boosting for Survival Analysis with Competing Risk. By Nofel Ahmed (Winner of the 2023 ISCB Conference Scientist Award)
  • 2020-21: Disagreement Based Variable Selection Method for High-dimensional Censored Data. By Suborna Sultana (Winner of the 2022 ISCB Conference Scientist Award)
  • 2020-21: Implementation of Lightgbm and XGBoost to Survival Data under AFT Model. By Md. Saifur Rahman Mazumder (Winner of the 2022 ISCB Conference Scientist Award).
  • 2020-21: Analysis of Clustered Survival Data with Dependent Censoring. By Afsana Dil Afroze (Winner of the 2022 ISCB Conference Fund for Developing Countries (CFDC)).
  • 2019-20: Cure Rate Accelerated Failure Time Model with Spatial Frailty. By Faiaz Rumman Khan.
  • 2019-20: Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine. By Nayma Hossain (Winner of the 2020 ISCB Conference Scientist Award).
  • 2018-19: Predictive Performance of the Logistic Regression Model under Separation Problem and Minimal EPV. By Kazy Farhat Tabassum (Winner of the 2019 ISCB Conference Fund for Developing Countries (CFDC)).
  • 2018-19: Variable Selection for Censored Data with Adaptive Quantile Regression Models. By Md Nasim Saba Nishat (Winner of the 2019 ISCB Conference Fund for Developing Countries (CFDC)).
  • 2017-18: Bayesian Estimation of Deaths and Damages in Major Cyclones, Famine and Floods in Bangladesh. By Mahmuda Jahan.
  • 2017-18: Age at First Birth and Birth Spacing: A Joint Modelling Approach for Longitudinal and Survival Data. By Tanzina Haque.
  • 2017-2018: Variable Selection for Censored Data Using Modified CAR Scores. By Afsana Mimi (Winner of the 2018 ISCB Conference Scientist Award).
  • 2016-17: Ranking Based Variable Selection for Censored Data Using AFT Models. By Marzan Akhter.
  • 2016-17: Variable Selection for AFT Models: A Generalized Linear Mixed Model Approach. By Sifat Sharfin.
  • 2015-16: A Comparison Between Rate Mixture Weibull and Mixed PH Model when Unobserved Heterogeneity is Incorporated. By Shaila Sharmin.
  • 2015-16: Performances of Variable Selection Techniques with AFT Models based on Weighted Least Squares. By Tagdira Naznin Smriti.
  • 2014-15: Modified Profile Likelihood Estimation and Inference Techniques Applied to Survival Models. By Md. Mazharul Islam.
  • 2013-14: Stability Selection for Lasso, Ridge and Elastic Net Implemented to AFT Models. By Anamika Bhadra.
  • 2013-14: Greedy Variable Selection Techniques Applied to Censored Data. By Togor.
  • 2005-06: Degree and Determinants of Men’s Contraceptive Knowledge in Bangladesh: A Multinomial Logistic Regression Approach to the 1999 and 2004 BDHS Contraceptive Data. By Dewan Sonia Sultana.

rial and Refereeing Experience (selected)

  • Editor, Journal of Biomedical Analytics
  • Editor, Zagazig University Medical Journal (ZUMJ)
  • Associate Editor, Journal of Statistical Research (JSR)
  • Associate Editor, PLOS One
  • Statistical Reviewer: Chest
  • Biometrics
  • Statistics in Medicine
  • Lifetime Data Analysis
  • Journal of Computational and Graphical Statistics
  • Journal of Applied Statistics
  • Communications in Statistics – Theory and Methods
  • Journal of Statistical Theory and Practice
  • Sankhya B
  • Statistics in Biopharmaceutical Research
  • PLOS ONE
  • BMJ Open
  • BMC Bioinformatics
  • BMC Public Health
  • BMC Research Notes
  • BMC Medical Research Methodology
  • Computers in Biology and Medicine
  • IEEE Access
  • Public Health Nutrition
  • Wiley book proposal
  • MRC research grant proposal
Current (2024–2025) Teaching (New Site)
  • AST525: Statistical Machine Learning (M.S. level)
    • Course Materials: outline; handout, assignment, and code– visit new site.
    • AST525: Statistical Machine Learning (M.S. level)
Recent Teaching
  • AST201: Probability Distributions and Simulation (2013, 2014(partial))
  • AST405: Lifetime Data Analysis (2013, 2014, 2015, 2016)
  • AST430: Statistical Computing IX (2016, 2017)
  • AST409: Generalized Linear Models (2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)
  • AST501: Applied Bayesian Statistics (2016, 2017)
  • AST525: Statistical Machine Learning (2018–now)
  • AST530: Statistical Computing I (2019, 2020, 2021, 2022)
  • AST531: Statistical Computing II (2023)
  • AST532: Comprehensive Statistical Computing (2014, 2015)
  • Tutorial of Probability A & B (at Warwick University; 2010/11)
  • Tutorial of Mathematical Statistics B (at Warwick University; 2011)
  • Lab Tutorial of Advanced Data Analysis (in Warwick Business School, Warwick University; 2011)
  • Tutorial of Statistical Laboratory 1 (at Warwick University; 2010)
  • Tutorial of Mathematical Statistics A (at Warwick University; 2010)
  • Tutorial of Probability A & B (at Warwick University; 2008/09)
  • Tutorial of Statistical Laboratory 1 (at Warwick University; 2009)
  • Tutorial of Probability A & B (at Warwick University; 2009/10)
Memberships 
  • Member (2018-), Institutional Review Board (IRB), Biomedical Research Foundation (BRF), Bangladesh
  • Regular member (2017-), International Statistical Institute (ISI)
  • Student member (2009-2012), Institute of Mathematical Statistics (IMS)
  • Student member (2010-2012), International Society for Bayesian Analysis (ISBA)
  • Member (2009-), International Society for Clinical Biostatistics (ISCB)
  • Life member, Bangladesh Statistical Association (BSA)
  • Board of Trustees Member and life member, Institute of Statistical Research and Training Alumni Association (ISRTAA)
PhD Genealogy 

My Ph.D. genealogy includes Ewart Shaw as supervisor, Adrian Smith as grand supervisor, Dennis Lindley as great-grand supervisor, Euler as great-grand supervisor (10th), Leibniz as great-grand supervisor (14th), and Copernicus as great-grand supervisor (20th).

Write-up in the Newspaper (selected) 

 

 

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