BEGIN:VCALENDAR
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PRODID:-//Institute of Statistical Research and Training - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20241125T150000
DTEND;TZID=UTC:20241125T163000
DTSTAMP:20260117T072111
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:20260117T072111
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:20260117T072111
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 Deltin 7 bangladesh using Home Energy Reports (HERs) \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Atonu Rabbani\, Ph.D\, Professor\, Department of Economics\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh \nAbstract: \nIn this study\, we estimated the potential impacts of home energy reports (HERs) on energy efficient behaviours among residential customers of Deltin 7 bangladesh\, 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:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240927T090000
DTEND;TZID=UTC:20240928T210000
DTSTAMP:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240918T100000
DTEND;TZID=UTC:20240918T113000
DTSTAMP:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম 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:20260117T072111
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:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Please Select\, 1000\, Bangladesh
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240211
DTEND;VALUE=DATE:20240212
DTSTAMP:20260117T072111
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 Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh 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:20260117T072111
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:20260117T072111
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:20260117T072111
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:20260117T072111
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:20260117T072111
CREATED:20240123T024936Z
LAST-MODIFIED:20240123T024936Z
UID:6424-1706191200-1706187700@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:20260117T072111
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 Deltin 7 bangladesh\, Bangladesh \nVenue and time: ISRT\, 2:00 pm \nSpeaker: Md. Touhidul Alam\, PhD student at Lancaster Environment Centre\, Lancaster Deltin 7 Aviator গেম টাকা ইনকাম\, UK \nAbstract: \nComparable to many fast-growing cities of the developing world\, Deltin 7 bangladesh 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 Deltin 7 bangladesh’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:20260117T072111
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:20260117T072111
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:20260117T072111
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 Deltin 7 Aviator গেম টাকা ইনকাম \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:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, 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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, 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:20260117T072111
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:20260117T072111
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:20260117T072111
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:20260117T072111
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 Deltin 7 bangladesh Deltin 7 Aviator গেম টাকা ইনকাম 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\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, 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:20260117T072111
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\, Deltin 7 Aviator গেম টাকা ইনকাম of Toronto \nAssistant Professor\, Department of Statistical Sciences\, Deltin 7 Aviator গেম টাকা ইনকাম 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:20260117T072111
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:20260117T072111
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 Deltin 7 Aviator গেম টাকা ইনকাম\, 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
BEGIN:VEVENT
DTSTART;TZID=UTC:20230807T140000
DTEND;TZID=UTC:20230807T150000
DTSTAMP:20260117T072111
CREATED:20230726T145600Z
LAST-MODIFIED:20230728T120224Z
UID:5922-1691416800-1691420400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on August 7 on "Testing linearity in rapid microbiological method validation"
DESCRIPTION:Title: Testing linearity in rapid microbiological method validation \nAbstract: \nTesting the linearity of a measurement system (MS) is required during its validation. Guidelines clearly discuss the appropriate design and analysis in testing the linearity of an MS when the data is Gaussian distributed but not for count data. This talk addresses how linearity is tested and the corresponding optimal design for testing linearity for Poisson data. \n  \nPresenter: \nDr. Abu Manju\nAssociate Director Statistics\nCenter for Mathematical Science (CMS)\,\nOrganon\, Oss\, the Netherlands \nAssistant Professor \nWittenborg Deltin 7 Aviator গেম টাকা ইনকাম of Applied Science\, Appeldorn\, the Netherlands
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-august-7-on-testing-linearity-in-rapid-microbiological-method-validation/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230724T140000
DTEND;TZID=UTC:20230724T150000
DTSTAMP:20260117T072111
CREATED:20230718T040215Z
LAST-MODIFIED:20230718T112121Z
UID:5867-1690207200-1690210800@isrt.ac.bd
SUMMARY:Seminar on “Data Science Product Development In the (AWS) Cloud” at 2 pm on July 24\, 2023
DESCRIPTION:Speaker: Sheikh Samsuzzhan Alam\, Senior Data Science Developer for Operation\, Novartis Pharma\, Czech Republic \nVenue: ISRT seminar room \nDate and time: 2 pm on Monday\, 24 July 2023 \nTitle: Data Science Product Development In the (AWS) Cloud \nAbstract: Customer-facing software products are complex in nature and usually developed by multiple teams of engineers. On the other hand\, software products build for internal business teams such as finance\, marketing\, human resources\, etc. are domain-specific and small user group focused. Providing data science solutions as software services for internal business teams with full-stack developer teams can have high development costs. Businesses might fall back or hesitate to build such products due to high maintenance and developer cost. Hence in My presentation\, I would like to showcase how a Data Scientist can wear many hats and provide a full-stack data science solution\, which is easily maintainable\, reusable\, and cost-effective at least from the development point of view due to its Cloud Native nature. In my presentation\, I would like to demonstrate a real-world use case I have implemented using AWS services such as Sagemaker\, Lambda\, API gateway\, S3\, and DynamoDB with Python SDKs to develop a Natural Language Processing (NLP) application for internal business use.
URL:https://isrt.ac.bd/event/seminar-on-data-science-product-development-in-the-aws-cloud-at-2-pm-on-july-24-2023/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230717T140000
DTEND;TZID=UTC:20230717T160000
DTSTAMP:20260117T072111
CREATED:20230716T142035Z
LAST-MODIFIED:20230716T142142Z
UID:5863-1689602400-1689609600@isrt.ac.bd
SUMMARY:Second football match of ISRT is against the Department of Marketing on July 17\, 2023
DESCRIPTION:The second football match of ISRT will take place tomorrow! The opponent is the Department of Marketing.\n \nTime: 17 July 2023\, 2:00 PM Venue: DU Central Field
URL:https://isrt.ac.bd/event/second-football-match-of-isrt-is-against-the-department-of-marketing-on-july-17-2023/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230710T163000
DTEND;TZID=UTC:20230710T173000
DTSTAMP:20260117T072111
CREATED:20230709T161054Z
LAST-MODIFIED:20230709T161054Z
UID:5834-1689006600-1689010200@isrt.ac.bd
SUMMARY:First match of ISRT in inter-department football tournament 2023 is on Monday\, 10 July 2023 at 4:45 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 2023 on Monday\, 10 July 2023 at 4:45 PM. Opponent is the department of peace and conflict studies. The match will be held at the central ground field of the university.
URL:https://isrt.ac.bd/event/first-match-of-isrt-in-inter-department-football-tournament-2023-is-on-monday-10-july-2023-at-445-pm/
CATEGORIES:other
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END:VCALENDAR