We are delighted to inform you that ISRT students have received One Paper award and Two Poster awards in the 2nd International Conference on Applied Statistics (ICAS) 2019 organized by Institute of Statistical Research and Training (ISRT) during December 27-29, 2019 at Nabab Nawab Ali Chowdhury Senate Bhaban, University of Dhaka. In the conference, applicant’s submissions were evaluated for … [ Read More ]
NEWS AND ANNOUNCEMENTS
Institute of Statistical Research and Training (ISRT) organized successfully the 2nd International Conference on Applied Statistics (ICAS) 2019 during December 27-29, 2019 at the Nabab Nawab Ali Chowdhury Senate Bhaban, University of Dhaka. The inaugural ceremony was held on Friday, December 27 and Professor Dr. Muhammad Samad, Pro-Vice Chancellor, University of Dhaka attended as Special Guest … [ Read More ]
ISRT successfully organized the International Workshop on Sampling Methodologies for Monitoring Sustainable Development Goal Indicators, sponsored by the International Statistical Institute (ISI) and World Bank (WB) on 17-19 December, 2019. Main objectives were to understand key concepts of SDGs, the targets and indicators, gain familiarity with the indicator framework and Statistical Quality Assurance Framework (SQAF), … [ Read More ]
ISRT delightfully shares the news that ISRT has successfully completed the training program on “R for Data Analytics” this year from September 25 to November 6, 2019 and it was the second time from its inception in 2018. Total 93 participants in two batch were participated in the program. Successful participants were attended the certificate giving … [ Read More ]
ISRT has won their first match in the inter-department football tournament of the University of Dhaka against the Department of Clinical Psychology by 2-0 goal in the first round that was held on 8th September 2019 at Gymnasium playground. Each player played a fantastic match showing their best effort and excellent team spirit which resulted … [ Read More ]
Recent Faculty Publications (Selected)
Rafiqul I. Chowdhury and M. Ataharul Islam (2020). Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data. Biometrical Journal, 2020; 1-18, D OI: 10.1002/bmj.201800101
Rafiqul I. Chowdhury and M. Ataharul Islam (2019). Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach. Statistical Methods & Applications, pp 1-31.
Alam, M. I., Coad, D. S. and Bogacka, B. (2019). Combined criteria for dose optimisation in early phase clinical trials. Statistics in Medicine, 38(21): 4172 – 4188.
Alam, M. I. and Sultana, Jafrin (2019). Isotonic design for phase I clinical trials: can we improve further? Austrian Journal of Statistics, 48: 34-44.
Ali, M., Salehnejad, R. and Mansur, M. (2019). Hospital Productivity: The Role of Efficiency Drivers, International Journal of Health Planning and Management, published online, volume 34, issue 2, pp. 806-823.
M.H.R. Khan, A. Bhadra and T. Howlader (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 (2019). Trends and determinants of perinatal mortality in Bangladesh. PLoS ONE, 14(8): e0221503. https://doi.org/10.1371/journal.pone.0221503.
M. S. Alam, S.S. Hossain, F. F. Sheela (2019). Spatial smoothing of low birth weight rate in Bangladesh using Bayesian hierarchical model. Journal of Applied Statistics 46 (10), 1870-1885.
Roy PK, Khan MHR, Akter T and Rahman MS (2019). Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data. Spatial and Spatio-temporal Epidemiology Vol 29: 71-83
Rahman MS, Rumana AS (2019). A model-based concordance-type index for evaluating the added predictive ability of novel risk factors and markers in the logistic regression models. Journal of Applied Statistics (Early view).