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X-WR-CALNAME:Institute of Applied Statistics and Data Science
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Applied Statistics and Data Science
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TZID:UTC
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TZOFFSETTO:+0000
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250127T140000
DTEND;TZID=UTC:20250127T150000
DTSTAMP:20250125T043905Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250120T140000
DTEND;TZID=UTC:20250120T150000
DTSTAMP:20250119T044955Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250113T140000
DTEND;TZID=UTC:20250113T170000
DTSTAMP:20250107T065038Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241223T140000
DTEND;TZID=UTC:20241223T150000
DTSTAMP:20241222T011925Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241125T150000
DTEND;TZID=UTC:20241125T163000
DTSTAMP:20241124T163655Z
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:20241117T155613Z
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:20241104T043223Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241110T180000
DTEND;TZID=UTC:20241201T210000
DTSTAMP:20240929T034137Z
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:20240926T031839Z
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:20240916T045507Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240808T180000
DTEND;TZID=UTC:20240831T213000
DTSTAMP:20240612T151157Z
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/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240719T100000
DTEND;TZID=UTC:20240720T193000
DTSTAMP:20240711T122546Z
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:20240109T051730Z
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:20240204T022109Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240201T150000
DTEND;TZID=UTC:20240302T170000
DTSTAMP:20240214T142035Z
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/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240201T140000
DTEND;TZID=UTC:20240201T153000
DTSTAMP:20240129T031353Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240127
DTEND;VALUE=DATE:20240128
DTSTAMP:20240121T132327Z
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/
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:20240123T024936Z
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240122T140000
DTEND;TZID=UTC:20240122T153000
DTSTAMP:20240118T092012Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240118T080000
DTEND;TZID=UTC:20240118T113000
DTSTAMP:20240117T091316Z
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/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240111T140000
DTEND;TZID=UTC:20240111T153000
DTSTAMP:20240110T080942Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240104T140000
DTEND;TZID=UTC:20240104T153000
DTSTAMP:20240102T094327Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231206T123000
DTEND;TZID=UTC:20231206T133000
DTSTAMP:20231203T134558Z
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:20231105T054143Z
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/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231009T140000
DTEND;TZID=UTC:20231009T153000
DTSTAMP:20231006T173606Z
CREATED:20231006T172907Z
LAST-MODIFIED:20231006T173606Z
UID:6089-1696860000-1696865400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, October 9\, 2023
DESCRIPTION:Title: Joint copula-frailty approach to model clustered survival data with dependent censoring (PhD proposal) \nVenue and time: ISRT\, 2:00 pm \nPresenter:  Nasrin Sultana\, PhD student at ISRT \nAbstract: \nWith the development of modern medical technology\, in many situations naturally a fraction of patients can be cured\, or the disease free\, while the non-cured patients lengthen their survival time. Recurrence of a disease or event is a very common phenomenon in biomedical studies. The uncured patients experience the recurrence of the disease because of some unobserved random effects or heterogeneity. Dependent censoring may arise in some situations when the right censoring is completely or partly caused by an event other than the terminal event of interest\, possibly due to these random effects. We aim at developing both a joint frailty model and a joint frailty copula model for such recurrent event lifetime data considering cure fraction that captures the heterogeneity due to dependent censoring. To achieve dependent censoring\, we also need to add joint modelling of recurrent time and time to death where time to death determines the censoring mechanism. A likelihood-based technique has been developed for the proposed models. The Expectation-Maximization (EM) and Monte Carlo Expectation-Maximization (MCEM) algorithms are being developed to carry out the underlying parameter estimation and inference procedures.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-october-9-2023/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231008T150000
DTEND;TZID=UTC:20231008T163000
DTSTAMP:20231006T175159Z
CREATED:20231006T175159Z
LAST-MODIFIED:20231006T175159Z
UID:6091-1696777200-1696782600@isrt.ac.bd
SUMMARY:A talk by Bangladesh Data Center Company Limited on Sunday\, October 8\, 2023
DESCRIPTION:Representatives from Bangladesh Data Center Company Limited (BDCCL)\, a tier IV national data centre\, will be giving a talk this coming Sunday\, October 8\, 2023 at 3 pm on the following topic:\n\n“Empowering Future Leaders of Data-driven Ecosystem through Innovation”\n\n\nThis talk is a part of ISRT’s initiative to organize career development programs for students and to link academia with industry. The talk focuses on the future directions\, scopes and challenges of data science in Bangladesh.\n  \n 
URL:https://isrt.ac.bd/event/a-talk-by-bangladesh-data-center-company-limited-on-sunday-october-8-2023/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231004T090000
DTEND;TZID=UTC:20231004T130000
DTSTAMP:20230927T134518Z
CREATED:20230927T134518Z
LAST-MODIFIED:20230927T134518Z
UID:6050-1696410000-1696424400@isrt.ac.bd
SUMMARY:Launching ceremony of Applied Statistics and Data Science on October 4\, 2023
DESCRIPTION:ISRT is organizing a launching ceremony of its much anticipated Applied Statistics and Data Science programs. The objective is to publicise these programs among private stakeholders\,  government offices\, and other academic institutions. I invite you to attend the launching ceremony\, which will take place on October 4\, 2023 at 9:30 a.m. at the Dhaka University Senate Bhaban. The invitation card is enclosed.
URL:https://isrt.ac.bd/event/launching-ceremony-of-applied-statistics-and-data-science-on-october-4-2023/
LOCATION:Nabab Nawab Ali Chowdhury Senate Bhaban\, University of Dhaka\, University of Dhaka\, Dhaka\, Bangladesh\, 1000
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2023/09/final_invitation.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230918T140000
DTEND;TZID=UTC:20230918T153000
DTSTAMP:20230914T064619Z
CREATED:20230914T064104Z
LAST-MODIFIED:20230914T064619Z
UID:6029-1695045600-1695051000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, September 18\, 2023
DESCRIPTION:Title: The Generalized Variable Importance Metric: A model agnostic method to identify predictor outcome relationship \nPresenter:  \nKaviul Anam khan \nPhD  in Biostatistics candidate at the Dalla Lana School of Public Health\, University of Toronto \nAssistant Professor\, Department of Statistical Sciences\, University of Toronto \n  \nAbstract: \nThe aim my research is to define importance of predictors for black box machine learning methods\, where the prediction function can be highly non-additive and cannot be represented by statistical parameters. In this paper we defined a “Generalized Variable Importance Metric (GVIM)” using the true conditional expectation function for a continuous or a binary response variable. We further showed that the defined GVIM can be represented as a function of the Conditional Average Treatment Effect (CATE) squared for multinomial and continuous predictors. Then we propose how the metric can be estimated using any machine learning models. Finally we showed the properties of the estimator using multiple simulations. While the estimators for the GVIM are consistent\, they have small sample biases. We proposed and efficient influence function based approach under some regularity conditions to perform one step correction of the bias. This research is going to significantly impact the public and clinical health sciences\, since this opens the door for effectively using modern machine learning methods in real life applications in health sciences.
URL:https://isrt.ac.bd/event/6029/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230910T170000
DTEND;TZID=UTC:20231003T170000
DTSTAMP:20230818T183544Z
CREATED:20230811T065741Z
LAST-MODIFIED:20230818T183544Z
UID:5968-1694365200-1696352400@isrt.ac.bd
SUMMARY:Training programs on Applied Statistics for Data Science using SPSS and Stata to begin from September 10\, 2023
DESCRIPTION:The upcoming SPSS and Stata training programs will begin on Septermber 10\, 2023. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/spss-and-stata/
URL:https://isrt.ac.bd/event/spss-and-stata-training-programs-to-begin-from-september-10-2023/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230821T140000
DTEND;TZID=UTC:20230821T153000
DTSTAMP:20230819T013713Z
CREATED:20230819T013713Z
LAST-MODIFIED:20230819T013713Z
UID:5978-1692626400-1692631800@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday\, August 21\, 2023
DESCRIPTION:Title: Hierarchical structural component models for pathway analysis of longitudinal categorical phenotypes \nPresenter:  \nMd. Kamruzzaman\, PhD \nAssociate Professor\, Jagannath University\, Email: kzaman1@isrt.ac.bd \n  \nAbstract: \nSeveral statistical methods for pathway analysis have been developed to test the association between pathways and phenotypes of interest. Since pathways are highly correlated\, a hierarchical structural component models (HisCoM) was developed to analyze all pathways in a single model and take into consideration their correlation. HisCoM was originally developed to analyze a single phenotype using only one measurement per individual. Later\, it was extended to analyze multiple phenotypes (HisCoM-multi) and longitudinal phenotypes (HisCoM-GEE). These methods have been used to analyze continuous\, counts\, and binary phenotypes from cross-sectional\, clustered\, and longitudinal studies. In this study\, we propose a hierarchical structural component model for pathway analysis of longitudinal categorical phenotypes (HisCoM-RCateg). HisCoM-RCateg is proposed by combining the hierarchical structural component model and generalized estimating equations for correlated categorical phenotypes. HisCoM-RCateg accounts for the biological hierarchy of all biomarkers and pathways into a single model. In the simulation\, the proposed HisCoM-RCateg appeared to have high power than other existing methods and effectively controlled type I error for longitudinal multinomial phenotypes. To demonstrate the performance\, we also applied HiscoM-RCateg to two distinct types of longitudinal omics data\, namely the metabolite dataset and the metagenome dataset.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-august-21-2023/
CATEGORIES:seminar
END:VEVENT
END:VCALENDAR