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CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Institute of Statistical Research and Training
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Statistical Research and Training
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250707T080000
DTEND;TZID=UTC:20250707T170000
DTSTAMP:20260424T044432
CREATED:20250706T163654Z
LAST-MODIFIED:20250706T163654Z
UID:8007-1751875200-1751907600@isrt.ac.bd
SUMMARY:First-year classes begin July 7\, 2025
DESCRIPTION:Classes for first-year students of the 2024–2025 session will commence on July 7\, 2025.
URL:https://isrt.ac.bd/event/first-year-classes-begin-july-7-2025/
LOCATION:Please Select
CATEGORIES:class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250702T100000
DTEND;TZID=UTC:20250702T110000
DTSTAMP:20260424T044432
CREATED:20250701T091824Z
LAST-MODIFIED:20250703T064954Z
UID:7941-1751450400-1751454000@isrt.ac.bd
SUMMARY:Orientation of first-year students for the 2024-25
DESCRIPTION:The orientation of first-year students for the 2024-25 academic session will be tomorrow (Wednesday\, July 2) at 10:00 a.m. The program will take place in the ISRT seminar room.
URL:https://isrt.ac.bd/event/orientation-of-first-year-students-for-the-2024-25/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250505T140000
DTEND;TZID=UTC:20250505T153000
DTSTAMP:20260424T044432
CREATED:20250406T053746Z
LAST-MODIFIED:20250501T071751Z
UID:7545-1746453600-1746459000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday May 5\, 2025
DESCRIPTION:Title: Understanding Causality: Rubin’s Potential Outcome Model and Philosophical Perspectives \nVenue\, time and date: ISRT\, 2:00 pm\, May 5\, 2025 \nSpeaker: Nahian Nujhat\, Bushra Chowdhury\, Md. Mutasim Billah\, Faria Rauf Ria\, Maliha Binte Alauddin\, Institute of Statistical Research and Training\, University of Dhaka. \nAbstract:  \nCausal inference focuses on estimating cause-and-effect relationships\, a key challenge in statistics\, where distinguishing association from causation is crucial. In this talk\, we will explore the foundations of causal inference through the lens of Paul W. Holland’s seminal 1986 Journal of the American Statistical Association paper “Statistics and Causal Inference.” \nRubin’s model formalizes causal effects through the potential outcomes framework\, which requires observing both counterfactuals. The two potential outcomes for a unit refer to the outcome that would be observed if the unit receives the treatment and the outcome that would be observed if the unit does not receive the treatment. The fundamental problem of causal inference is–the impossibility of observing both potential outcomes for the same unit\, which can be overcome under some untestable assumptions. \nSeveral philosophers\, such as Hume\, Mill\, and Suppes\, have contributed to understanding causation. Hume emphasized that causation is observed through temporal succession\, contiguity and constant conjunction rather than direct observation\, which led him to be skeptical about causality. Mill believed that experimental inquiry is required to identify causal relationships. Suppes advanced the discussion by introducing a probabilistic theory of causality. These philosophical views are explored in the context of Rubin’s model. \nFinally\, we will address the question of what can be a cause\, arguing that only manipulable factors can be considered causes in the context of experiments. This will lead to a discussion of the limitations of causal inference in observational studies and the importance of distinguishing between attributes and causes.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-april-07-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250310T120000
DTEND;TZID=UTC:20250310T133000
DTSTAMP:20260424T044432
CREATED:20250306T035154Z
LAST-MODIFIED:20250306T035154Z
UID:7503-1741608000-1741613400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday March 10\, 2025
DESCRIPTION:Title: Variational Autoencoder Model for Exploring Latent Spaces in High-Dimensional Datasets \nVenue\, time and date: ISRT\, 12:15 pm\, March 10\, 2025 \nSpeaker: Mashfiqul Huq Chowdhury\, PhD\, Associate Professor at Mawlana Bhashani Science and Technology University \nAbstract:  \nIn this talk\, I will focus on a probabilistic generative model known as the Variational Autoencoder (VAE). The VAE model uses variational Bayes to approximate the intractable posterior distribution over latent variables. I will begin by presenting the derivation of the evidence lower bound (ELBO) and then discuss the optimization procedure of the model. During training\, the VAE learns smooth latent space representations through regularization. This learning paradigm can be applied to various tasks\, including unsupervised clustering\, regression\, and the generation of new instances. To demonstrate its application\, I will showcase how the VAE model can be applied to high-dimensional datasets and highlight the results in terms of clustering performance and sample generation.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-march-10-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250224T140000
DTEND;TZID=UTC:20250224T150000
DTSTAMP:20260424T044432
CREATED:20250222T040452Z
LAST-MODIFIED:20250222T040711Z
UID:7476-1740405600-1740409200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday February 24\, 2025
DESCRIPTION:Venue\, time and date: ISRT\, 2:00 pm\, February 24\, 2025 \nSpeaker: Humayera Islam\, PhD\, Postdoctoral Scholar in Precision Health at the University of Chicago \nTalk 1 \nTitle: From Statistical Models to LLMs: The Evolution of Feature Representation in Predictive Modeling \nAbstract: \nWith the digitization of healthcare and public health systems\, data collection has expanded far beyond traditional numerical and categorical formats to include complex modalities such as natural language (e.g.\, clinical notes)\, medical images (e.g.\, radiology scans)\, genetic data (e.g.\, omics)\, and temporally extensive time-series data (e.g.\, electronic health records). This expansion was driven by advancements in data storage capacity\, enabling the collection of massive\, high-dimensional datasets. As the size and complexity of data grew\, so did the need for more sophisticated feature representation techniques to effectively capture the underlying patterns for predictive tasks to enhance clinical decision making. This seminar traces the evolution of feature representation from traditional statistical models\, which relied on manual feature engineering\, to machine learning models that automated feature extraction\, to deep learning architectures that learned hierarchical and temporal features\, and finally to Large Language Models (LLMs) that leveraged self-attention mechanisms for contextual sequence modeling. The aim is to spark curiosity and inspire students to explore how to effectively handle these diverse data modalities and harness the power of advanced models for innovative research projects. \nTalk 2 \nTitle: Pathways to Growth: Preparing for Data Science and Informatics Graduate Programs in the US \nAbstract: \nThis talk offers a comprehensive roadmap for students aspiring to pursue graduate programs in data science and informatics in the US. It will cover the key skill sets essential for enhancing data science expertise\, including domain knowledge\, emerging methodologies\, technical proficiency\, and leadership in professional development. Additionally\, students will be provided with valuable resources such as open-source datasets and learning platforms to strengthen these skills during their time at ISRT and effectively prepare for graduate studies.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-february-24-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250204T113000
DTEND;TZID=UTC:20250204T130000
DTSTAMP:20260424T044432
CREATED:20250201T174134Z
LAST-MODIFIED:20250201T174134Z
UID:7409-1738668600-1738674000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Tuesday February 4\, 2025
DESCRIPTION:Title: Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome \nVenue\, time and date: ISRT\, 11:30 pm\, February 4\, 2025 \nSpeaker: Abdus S. Wahed\, PhD\, Professor of Biostatistics\, Department of Biostatistics and Computational Biology\, University of Rochester\, USA \nAbstract: \nQ-learning has been one of the most commonly used methods for optimizing dynamic treatment regimes (DTRs) in multistage decision-making. Right-censored survival outcome poses a significant challenge to Q-Learning due to its reliance on parametric models for counterfactual estimation which are subject to misspecification and sensitive to missing covariates. In this paper\, we propose an imputation-based Q-learning (IQ-learning) where flexible nonparametric or semiparametric models are employed to estimate optimal treatment rules for each stage and then weighted hot-deck multiple imputation (MI) and direct-draw MI are used to predict optimal potential survival times. Missing data are handled using inverse probability weighting and MI\, and the nonrandom treatment assignment among the observed is accounted for using a propensity-score approach. We investigate the performance of IQ-learning via extensive simulations and show that it is more robust to model misspecification than existing Q-Learning methods\, imputes only plausible potential survival times contrary to parametric models and provides more flexibility in terms of baseline hazard shape. Using IQ-learning\, we developed an optimal DTR for leukemia treatment based on a randomized trial with observational follow-up that motivated this study. \nPaper link: \nImputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome | Biometrics | Oxford Academic 
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-tuesday-february-4-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250127T140000
DTEND;TZID=UTC:20250127T150000
DTSTAMP:20260424T044432
CREATED:20250125T043720Z
LAST-MODIFIED:20250125T043905Z
UID:7375-1737986400-1737990000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, January 27\, 2025
DESCRIPTION:Title: Bridging Theory and Practice – A Journey Through Applied Statistics Across Academia\, Industry\, and Consulting (Part 2) \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Yeasmin Khandakar\, PhD\, Senior Data Scientist\, Transurban Limited\, Australia \nAbstract: \nIn this presentation\, Dr. Yeasmin Khandakar will share her journey emphasizing how challenges can be transformed into opportunities. The first part of the presentation highlights the outcome achieved by navigating a steep learning curve and embracing uncertainties. illustrating how these challenges have been pivotal in her career and personal growth. Dr. Khandakar will highlight key moments from her career\, including her influential work on automatic ARIMA forecasting with Prof. Rob J. Hyndman. \nThe second part of the presentation will focus on the practical application of her current research in the industry. Yeasmin will discuss her role at Transurban\, where she leverages time series forecasting models and data analysis to address real-world problems. The presentation aims to inspire and equip students with insights and strategies for navigating their own professional paths.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-january-27-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250120T140000
DTEND;TZID=UTC:20250120T150000
DTSTAMP:20260424T044432
CREATED:20250116T043311Z
LAST-MODIFIED:20250119T044955Z
UID:7369-1737381600-1737385200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, January 20\, 2025
DESCRIPTION:Title: Bridging Theory and Practice – A Journey Through Applied Statistics Across Academia\, Industry\, and Consulting \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Roman Ahmed\, PhD\, Senior Analytics Specialist (Statistics and Machine Learning) at Optus Australia \nAbstract: \nThis presentation traces the learning and professional journey of a statistician who has navigated a diverse career across academic\, industrial\, commercial research\, government\, and corporate consulting sectors. Beginning with a BSc in Applied Statistics and PhD in Econometrics and Business Statistics in the early 2000s\, the speaker will share key insights from their evolution as a statistician\, highlighting the ways in which their expertise in applied statistics has been shaped by each environment. From theoretical foundations in academia to practical applications in industry\, government\, and consulting\, the presentation will focus on the challenges\, strategies\, and tools employed to bridge the gap between statistical theory and real-world problem-solving. Through personal anecdotes and case studies\, the speaker will demonstrate the versatility of statistical knowledge in solving complex problems across various domains\, emphasizing the importance of adaptability\, communication\, and continuous learning in a dynamic professional landscape. This reflection on their journey offers valuable lessons for aspiring statisticians seeking to understand the breadth of opportunities and challenges that exist beyond the classroom.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminars-on-monday-january-20-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250113T140000
DTEND;TZID=UTC:20250113T170000
DTSTAMP:20260424T044432
CREATED:20250107T065038Z
LAST-MODIFIED:20250107T065038Z
UID:7360-1736776800-1736787600@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminars on Monday\, January 13\, 2025
DESCRIPTION:Seminar 1\nTitle: Opportunities and Challenges in Single-Cell RNA-Seq: Revealing Biomarkers and Regulatory Networks in Early Brain Development \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Dr. Md. Alamin\, Assistant Professor\, Department of Mathematics & Physics\, School of Engineering and Physical Sciences\, North South University \nAbstract: \nUnraveling the molecular mechanisms of early neuronal development is critical to understanding the genetic and regulatory factors driving human brain formation. Leveraging single-cell RNA sequencing (scRNA-seq)\, we profiled the transcriptional dynamics during the differentiation of human embryonic stem cells (hESCs) into neurons at two key time points: Day 26 (D26) and Day 54 (D54). Our analysis uncovered 539 differentially expressed genes (DEGs)\, revealing that up-regulated DEGs are involved in neurogenesis\, while down-regulated DEGs play roles in synapse regulation. Reactome pathway analysis highlighted significant contributions of down-regulated DEGs to synaptic protein interactions. Furthermore\, we identified 20 critical transcription factors and explored miRNA-DEG and TF-miRNA interactions\, advancing our understanding of gene regulatory networks during early brain development. These findings offer valuable insights into the genetic underpinnings of intelligence\, mental health\, and neurodevelopmental disorders. Moreover\, I will address the emerging challenges for statisticians and mathematicians in analyzing and interpreting high-dimensional single-cell data. These include handling data sparsity\, developing robust computational models\, and integrating multimodal datasets to uncover complex biological interactions. By bridging the gaps between biology\, statistics\, and mathematics\, we can push the boundaries of our understanding and foster innovation in neuroscience research. \nSeminar 2\nTitle: A reflection on the recent development of the subject area of Statistics and some specific issues of concern for further research \nVenue and time: ISRT\, 3:00 pm \nSpeaker: Dr. Moudud Alam\, Associate Professor in Microdata Analysis\, Dalarna University\, Sweden \nAbstract: \nThis talk is divided into two parts. In first part the recent development of the subject area of Statistics\, particularly the development of Data Science\, is discussed from the speaker’s experience along the way to develop a master’s and a PhD programme in Data Science\, and Data Analytics at a Swedish university. The media outcry and the popularity of the computing technology\, and artificial intelligence has pushed the Statistics community to rethink about its longstanding branding. Dedication of the 2024 Nobel prize in Physics and partly in Chemistry\, to the contribution in the development of artificial neural network\, and artificial intelligence can be considered as yet another dictation from the scientific community of the future direction of the filed. The contemporary labour market demands of the computing and soft skills is a non-negligible factor influencing the current trend of the subject. In this talk the experience of the speaker’s journey from Statistics to Data Science is discussed\, in connection with the related Swedish and European initiatives. Yet\, in this impassionate outrage it seems the scientific community is undermining (if not missing) the core assignment\, as all researchers concentrate too much to the practical applications driven by the contemporary problems\, mainly coming from the industry. In the second part\, the speaker draws attention\, using literature review and own research towards a number of statistical core issues that need special attention. In particular\, the limitation of ad hoc (such as cross validation) inferential procedure is exemplified using variable selection problem as an example\, from the literature. Using the speaker’s own research on service lifetime estimation of traffic signs in Sweden the speaker highlights the need for core statistical skills in dealing with unconventional data sources in the Data Science era. \n  \n 
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminars-on-monday-january-13-2025/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241223T140000
DTEND;TZID=UTC:20241223T150000
DTSTAMP:20260424T044432
CREATED:20241222T010115Z
LAST-MODIFIED:20241222T011925Z
UID:7338-1734962400-1734966000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, December 23\, 2024
DESCRIPTION:Title: Postpartum family planning counselling during maternity care visits in Bangladesh and its effect on contraceptive initiation \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Md. Moinuddin Hiader\, Associate Scientist\, icddr\,b \nThe speaker will initiate the talk by briefly discussing what he and his team expect from a fresh graduate as employers and what helps in career growth in public health research. He will conclude the talk by discussing 2-3 research ideas using publicly available data.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-december-23-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241125T150000
DTEND;TZID=UTC:20241125T163000
DTSTAMP:20260424T044432
CREATED:20241124T163439Z
LAST-MODIFIED:20241124T163655Z
UID:7283-1732546800-1732552200@isrt.ac.bd
SUMMARY:ISRT Football Match on November 25 at 3 PM
DESCRIPTION:ISRT football team will play the second match of the inter-department tournament on November 25. The match is scheduled against the Department of Geography & Environment and will take place at 3:00 PM at the Central field\, DU.
URL:https://isrt.ac.bd/event/isrt-football-match-on-november-25-at-3-pm/
LOCATION:Playing Ground\, DU
CATEGORIES:Football
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241118T030000
DTEND;TZID=UTC:20241118T030000
DTSTAMP:20260424T044432
CREATED:20241117T155455Z
LAST-MODIFIED:20241117T155613Z
UID:7255-1731898800-1731898800@isrt.ac.bd
SUMMARY:First match of ISRT in inter-department football tournament 2024 is on Monday\, 18 Nov 2024 at 3:00 PM
DESCRIPTION:ISRT is delighted to announce that the ISRT football team is going to play the first match in the inter-department football tournament 2024 on Monday\, 18 July 2024\, at 3:00 PM against department of Performance and Theater Studies.. The game will be held at the university’s central ground field. \nLet’s come together and make our presence felt on the field.
URL:https://isrt.ac.bd/event/first-match-of-isrt-in-inter-department-football-tournament-2024-is-on-monday-18-nov-2024-at-300-pm/
LOCATION:Playing Ground\, DU
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241111T140000
DTEND;TZID=UTC:20241111T150000
DTSTAMP:20260424T044432
CREATED:20241104T043223Z
LAST-MODIFIED:20241104T043223Z
UID:7206-1731333600-1731337200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, November 11\, 2024
DESCRIPTION:Title: Engineering Energy Efficiency among Residential Customers in Dhaka using Home Energy Reports (HERs) \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Atonu Rabbani\, Ph.D\, Professor\, Department of Economics\, University of Dhaka \nAbstract: \nIn this study\, we estimated the potential impacts of home energy reports (HERs) on energy efficient behaviours among residential customers of Dhaka\, the capital of Bangladesh. We partnered with one of the two major retail power distribution companies. Using administrative consumption data\, we developed HERs with social feedback or descriptive norms\, where customers received comparisons between their own consumption and the averages of their neighbours. Using a randomized control trial\, we compared the electric energy consumption of a group who received “placebo” reports based only on their own consumption and without any comparison groups. Our findings suggest that the energy consumption declined by about 5 percent. However\, these impacts were short-lived and there was also suggestive evidence of possible rebound effects. Consistent with prior findings\, we also found that the impacts were larger for consumers who had higher consumption based on pre-intervention energy consumption. The point estimates suggest that households who received feedbacks based on their expenditure exhibited a larger impact compared to the households who received quantity-based feedbacks. The preliminary analyses suggest that behavioural nudges can be effective in the short run and that more intense and continuous feedback may be necessary for longer-term effects.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-november-11-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241110T180000
DTEND;TZID=UTC:20241201T210000
DTSTAMP:20260424T044432
CREATED:20240915T162436Z
LAST-MODIFIED:20240929T034137Z
UID:7025-1731261600-1733086800@isrt.ac.bd
SUMMARY:Stata for Applied Statistics and Data Science
DESCRIPTION:Details are given at https://isrt.ac.bd/training/stata
URL:https://isrt.ac.bd/event/stata-for-applied-statistics-and-data-science/
LOCATION:ISRT\, ISRT\, University of Dhaka\, Dhaka\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240927T090000
DTEND;TZID=UTC:20240928T210000
DTSTAMP:20260424T044432
CREATED:20240915T164043Z
LAST-MODIFIED:20240926T031839Z
UID:7036-1727427600-1727557200@isrt.ac.bd
SUMMARY:SPSS Hands-on for Data Science (short training course)
DESCRIPTION:Details are given at https://isrt.ac.bd/training/spss
URL:https://isrt.ac.bd/event/spss-hands-on-for-data-science-short-training-course-2/
LOCATION:ISRT\, ISRT\, University of Dhaka\, Dhaka\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240918T100000
DTEND;TZID=UTC:20240918T113000
DTSTAMP:20260424T044432
CREATED:20240915T033016Z
LAST-MODIFIED:20240916T045507Z
UID:7018-1726653600-1726659000@isrt.ac.bd
SUMMARY:A talk by Awan Afiaz on 18 September 2024
DESCRIPTION:Title: Optimal Sandwich Variance Estimator in Penalized GEE for Nearly Separated Longitudinal Binary Data with Small Samples \nVenue and time: ISRT\, 10:00 am \nSpeaker: Awan Afiaz\, PhD candidate at the Department of Biostatistics\, University of Washington Seattle\, WA\, USA and ISRT alumnus \nAbstract: \nData separation arises in both independent and correlated binary data in biomedical studies and poses a substantial challenge that can lead to unreliable estimates and misleading inferences. This problem can occur due to a small sample size\, a rare exposure or event\, a very strong predictor or a linear combination of predictors\, high within-subject correlation (ICC)\, or any combination of these issues. Penalized generalized estimating equations (GEE) have been shown to be the superior approach for handling separation in binary longitudinal data\, along with bias-corrected sandwich variance estimators. Although the sandwich variance estimator is valid under misspecification of the working correlation structure in GEE\, it is downward biased by design for small samples and requires large samples for the asymptotic advantages to take effect. This has led to the development of several modified robust variance estimators for GEE for small samples\, which motivates finding the optimal sandwich estimator in the context of penalized GEE when there is near separation (sparsity) in the data. The current study proposed a bias-corrected sandwich variance estimator for penalized GEE and compared its performance with ten extant sandwich estimators for nearly separated data using a simulation study. To motivate the need for an optimal sandwich estimator in penalized GEE\, we demonstrated that the existing small-sample based estimators provided contradictory results when using dermatophyte-toe onychomycosis trial data. The proposed sandwich estimator does not require any additional assumptions beyond those already employed by the original sandwich estimator for GEE. We evaluated the proposed sandwich estimator by assessing the ratio of the average SEs and the empirical SD and by calculating the type-I error rates for Wald tests of the regression coefficients. Our simulation studies showed that the proposed estimator yielded nominal-level type-I error rates based on Wald tests of regression coefficients\, regardless of whether the working correlation model was correctly specified. Furthermore\, while existing approaches performed well when the number of subjects was high\, the proposed estimator achieved nominal type-I error rates with sample sizes as low as 10\, even in the most extreme scenarios. Even though all existing sandwich estimators performed better as the number of subjects increased\, exhibiting the usual asymptotic behavior of sandwich estimators\, no other estimator uniformly achieved optimal performance faster (with respect to the number of subjects and ICC) than our proposed estimator
URL:https://isrt.ac.bd/event/a-talk-by-awan-afiaz-on-18-september-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240808T180000
DTEND;TZID=UTC:20240831T213000
DTSTAMP:20260424T044432
CREATED:20240612T144902Z
LAST-MODIFIED:20240612T151157Z
UID:6768-1723140000-1725139800@isrt.ac.bd
SUMMARY:Stata for Applied Statistics and Data Science training program
DESCRIPTION:Stata for Applied Statistics and Data Science training program. Details on https://isrt.ac.bd/training/stata
URL:https://isrt.ac.bd/event/6768/
LOCATION:Please Select
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240719T100000
DTEND;TZID=UTC:20240720T193000
DTSTAMP:20260424T044432
CREATED:20240612T145921Z
LAST-MODIFIED:20240711T122546Z
UID:6774-1721383200-1721503800@isrt.ac.bd
SUMMARY:SPSS Hands-on for Data Science (short training course)
DESCRIPTION:SPSS Hands-on for Data Science (short training course).\n\nDetails on https://isrt.ac.bd/training/spss \nRegistration form
URL:https://isrt.ac.bd/event/spss-hands-on-for-data-science-short-training-course/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240211
DTEND;VALUE=DATE:20240212
DTSTAMP:20260424T044432
CREATED:20240109T051730Z
LAST-MODIFIED:20240109T051730Z
UID:6403-1707609600-1707695999@isrt.ac.bd
SUMMARY:Research Publication Fair to be held on February 11\, 2024 at the IBA premises
DESCRIPTION:The Institutes of the University of Dhaka will be participating in a day-long Research Publication Fair to be held on February 11\, 2024 at the IBA premises. This year\, ISRT is responsible for organizing the fair.
URL:https://isrt.ac.bd/event/research-publication-fair-to-be-held-on-february-11-2024-at-the-iba-premises/
LOCATION:IBA
CATEGORIES:other
ATTACH;FMTTYPE=image/png:https://isrt.ac.bd/wp-content/uploads/2024/01/Screen-Shot-2024-01-09-at-10.47.42-AM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240205T140000
DTEND;TZID=UTC:20240205T153000
DTSTAMP:20260424T044433
CREATED:20240204T022109Z
LAST-MODIFIED:20240204T022109Z
UID:6480-1707141600-1707147000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, February 5\, 2024
DESCRIPTION:Two talks (20 minutes each) \nVenue and time: ISRT\, 2:00 pm \nTalk 1 \nTopic : Data Tracker Table \nSpeaker: Nur Mohammad\, 2nd year student\, ISRT \n  \nTalk 2 \nTopic : Introduction to Typst: a modern typesetting system \nSpeaker: Md. Aminul Islam Shazid\, MS student\, ISRT
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-february-5-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240201T150000
DTEND;TZID=UTC:20240302T170000
DTSTAMP:20260424T044433
CREATED:20231130T085225Z
LAST-MODIFIED:20240214T142035Z
UID:6300-1706799600-1709398800@isrt.ac.bd
SUMMARY:'R for Applied Statistics and Data Science' Training Program to start from 01 February 2024
DESCRIPTION:After successfully conducting four training programs on R\, ISRT is now organizing its fifth on-campus (in-person) R for Applied Statistics and Data Science program from February 01\, 2024. Details of the program are available on its webpage: https://www.isrt.ac.bd/training/r/
URL:https://isrt.ac.bd/event/r-for-applied-statistics-and-data-science-training-program-to-start-from-01-february-2024/
LOCATION:Please Select
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240201T140000
DTEND;TZID=UTC:20240201T153000
DTSTAMP:20260424T044433
CREATED:20240129T030850Z
LAST-MODIFIED:20240129T031353Z
UID:6427-1706796000-1706801400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday\, February 1\, 2024
DESCRIPTION:Title: A Introduction to Power BI – Data visualization \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Tawfique Abdur Razzaque\, Senior Data Analyst\, Business Intelligence\, Therap (BD) Ltd. \n  \nWhat is Power BI? \nMicrosoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence. It is part of the Microsoft Power Platform. Power BI is a collection of software services\, apps\, and connectors that work together to turn various sources of data into static and interactive data visualizations. [Wikipedia] \n.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-thursday-february-1-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240127
DTEND;VALUE=DATE:20240128
DTSTAMP:20260424T044433
CREATED:20240121T131531Z
LAST-MODIFIED:20240121T132327Z
UID:6420-1706313600-1706399999@isrt.ac.bd
SUMMARY:R-fest on January 27 (Saturday) at ISRT
DESCRIPTION:ISRT will organize an R–fest on January 27 (Saturday) at ISRT. It will be a day-long program. Second-year students (Batch 28) will present their R project works at the festival. The presentations would be related to R or statistical computing in general. It will be a short presentation\, not more than 15 minutes.
URL:https://isrt.ac.bd/event/r-fest-on-january-27-saturday-at-isrt/
LOCATION:Please Select
CATEGORIES:other
ATTACH;FMTTYPE=image/png:https://isrt.ac.bd/wp-content/uploads/2024/01/R-FEST-Social-Media-2-e1705843385644.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240125T140000
DTEND;TZID=UTC:20240125T153000
DTSTAMP:20260424T044433
CREATED:20240123T024936Z
LAST-MODIFIED:20240123T024936Z
UID:6424-1706191200-1706196600@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday\, January 25\, 2024
DESCRIPTION:Title: A talk on SurveyCTO (An app for collecting data in surveys) \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Sultan Mahmood\, Research Investigator (Gender\, Equity and Rights) at icddr\,b.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-thursday-january-25-2024/
LOCATION:Please Select
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240122T140000
DTEND;TZID=UTC:20240122T153000
DTSTAMP:20260424T044433
CREATED:20240118T092012Z
LAST-MODIFIED:20240118T092012Z
UID:6415-1705932000-1705937400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday\, January 22\, 2024
DESCRIPTION:Title: Impact of Covid-19 on im(mobility) of informal sector workers in Dhaka\, Bangladesh \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Md. Touhidul Alam\, PhD student at Lancaster Environment Centre\, Lancaster University\, UK \nAbstract: \nComparable to many fast-growing cities of the developing world\, Dhaka city contributes greatly to the national economy (36% of GDP and 32% of national employment)\, with much of the employments being in the informal sectors. During COVID-19 pandemic\, the poorest section of this informal workforce with little or no savings became the worst victim of economic turmoil and lockdown. To escape starvation and annihilation\, many had but to return to the very villages that they had left to join Dhaka’s ever-expanding informal workforce. Curiously\, following lifting of the COVID-19 restrictions\, many of the returnees did not come back to the city immediately. This trend has the potential to reduce the supply of informal workforce to the city\, although their absorption in the rural economy has many positives for the rural development – like the availability of new skills\, ideas and technology. Taken collectively\, COVID-19 might have opened-up new possibilities for poorer people to secure higher wellbeing for themselves\, as well as to unleash a new way of doing development. While studies focusing on loss of jobs\, food insecurity and coping mechanisms of informal workers in Bangladesh are emerging\, documentation of the (im)mobility of informal workers is required for better policymaking and advancing scientific knowledge.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-thursday-january-22-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240118T080000
DTEND;TZID=UTC:20240118T113000
DTSTAMP:20260424T044433
CREATED:20240117T091316Z
LAST-MODIFIED:20240117T091316Z
UID:6413-1705564800-1705577400@isrt.ac.bd
SUMMARY:First Match of the Inter-department Cricket Tournament\, 2023-24 is on January 18\, 2024
DESCRIPTION:ISRT Cricket Team is going to play its first match in the inter-department cricket tournament tomorrow at 8:30 AM. The opponent is the Department of Clinical Pharmacy & Pharmacology.
URL:https://isrt.ac.bd/event/first-match-of-the-inter-department-cricket-tournament-2023-24-is-on-january-18-2024/
LOCATION:Please Select
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240111T140000
DTEND;TZID=UTC:20240111T153000
DTSTAMP:20260424T044433
CREATED:20240110T044931Z
LAST-MODIFIED:20240110T080942Z
UID:6407-1704981600-1704987000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday\, January 11\, 2024
DESCRIPTION:Title: Estimating Causal Effects of Socio-economic Factors on the Prevalence of Cesarean Section Delivery in Bangladesh \nVenue and time: ISRT\, 1:45 pm \nSpeaker: Dr  A. H. M. Mahbub Latif\, Professor\, ISRT\, DU \nAbstract: TBA \n 
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-thursday-january-11-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240104T140000
DTEND;TZID=UTC:20240104T153000
DTSTAMP:20260424T044433
CREATED:20240102T094327Z
LAST-MODIFIED:20240102T094327Z
UID:6392-1704376800-1704382200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday\, January 4\, 2024
DESCRIPTION:Title: PARD: Patient-Specific Abnormal Region Detection in Alzheimer’s Disease Studies \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Avizit Adhikary\, PhD candidate\, Florida State University \nAbstract: \nAlzheimer’s disease (AD) is the primary cause of dementia\, leading to cognitive challenges in processing new information\, handling complex tasks\, and experiencing personality fluctuations. To better understand and treat AD\, extensive research is needed to detect abnormal brain regions in an AD patient that can facilitate providing targeted medicine and improve the treatment pathways. However\, these regions may vary among the subjects due to the heterogeneity arising from demographic factors such as age and gender. Furthermore\, brain cells within a subject have inherent spatial dependence among themselves\, and a diseased cell may affect its neighboring cells to an unknown extent. In addition\, unmeasured confounders and measurement errors can partially or entirely mask the abnormal regions. All these points make these diseased regions challenging to detect. To this end\, we propose a Patient-specific Abnormal Region Detection (PARD) algorithm to identify the heterogeneous diseased regions by solving a Bayesian latent-space variable selection problem. Using Bayesian hierarchical modeling\, we account for the heterogeneity among the subjects as a large-scale variability and incorporate the inherent spatial dependence within subjects using ising priors into the latent space. A Gibbs sampling framework is derived for efficiently estimating the model parameters and hyper-parameters. The simulation study shows the superiority of the proposed algorithm over popular unsupervised learning methods. The algorithm is further applied to the resting-state MRI brain scans of subjects collected from Alzheimer’s Disease Neuroimaging Initiative (ADNI)\, and the detected regions are validated and analyzed by cross-matching with the brain’s default mode network (DMN).
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-thursday-january-4-2024/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231206T123000
DTEND;TZID=UTC:20231206T133000
DTSTAMP:20260424T044433
CREATED:20231203T134558Z
LAST-MODIFIED:20231203T134558Z
UID:6308-1701865800-1701869400@isrt.ac.bd
SUMMARY:The ISRT Golden Jubilee Award is on Dec 06
DESCRIPTION:Every year ISRT selects a student to receive the prestigious ISRT Golden Jubilee Award for outstanding performance in the B.S. (Hons.) program. This year\, Md. Muhitul Alam and Md. Abdullah Al Fahim of Session 2021-22\, have been jointly nominated to receive this award.\n\nThe award-giving ceremony will take place on Wednesday\, December 6\, 2023\, in the ISRT seminar room at 12:30 p.m. Professor Dr. A. S. M. Maksud Kamal\, Honorable Vice Chancellor\, University of Dhaka\, has given his kind consent to attend the program as Chief Guest and Professor Dr. Md. Abdus Samad\, Dean\, Faculty of Science will join the program as Special Guest. You are welcome to attend the ceremony to congratulate the awardees and make the program successful.
URL:https://isrt.ac.bd/event/the-isrt-golden-jubilee-award-is-on-dec-06/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:other
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2023/12/PHOTO-2023-12-03-19-36-28.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231106T140000
DTEND;TZID=UTC:20231106T153000
DTSTAMP:20260424T044433
CREATED:20231105T053544Z
LAST-MODIFIED:20231105T054143Z
UID:6243-1699279200-1699284600@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, November 6\, 2023
DESCRIPTION:Title: On the Development and Validation of Risk Prediction Models for Rare Outcomes \nVenue and time: ISRT\, 2:00 pm \nPresenter:  Dr. Md. Shafiqur Rahman\, Professor of Applied Statistics\, ISRT \nAbstract: \nRisk prediction models are commonly developed in clinical research to predict patients’ future health outcomes such as death or state of illness due to disease and/or to classify patients into clinical risk groups (low\, medium\, and high). Predictions from these models are useful to make joint decisions with both patient and clinician for future courses of treatment. However\, clinicians will be reluctant to use these models unless they can trust their predictions. To maximize the prediction accuracy and clinical utility of these models\, it is essential to ensure that they are rigorously developed\, validated\, and evaluated. However\, the standard process of model development and validation faces serious problems when the outcome is rare. This talk discusses the methodological challenges and possible solutions of model development and validation for data with rare outcomes. Issues are discussed providing separate examples of predictive models for binary and survival data with rare outcomes and illustrating them using both simulated and practical data.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-november-6-2023/
LOCATION:Please Select
CATEGORIES:seminar
END:VEVENT
END:VCALENDAR