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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
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TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20231009T140000
DTEND;TZID=UTC:20231009T153000
DTSTAMP:20260424T145241
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:20260424T145241
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:20260424T145241
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:20260424T145241
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:20260424T145241
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:20260424T145241
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
BEGIN:VEVENT
DTSTART;TZID=UTC:20230807T140000
DTEND;TZID=UTC:20230807T150000
DTSTAMP:20260424T145242
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 University 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:20260424T145242
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:20260424T145242
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:20260424T145242
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230619T110000
DTEND;TZID=UTC:20230619T120000
DTSTAMP:20260424T145242
CREATED:20230618T065328Z
LAST-MODIFIED:20230618T065328Z
UID:5779-1687172400-1687176000@isrt.ac.bd
SUMMARY:Applied Statistics Seminar on "Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Within and Between Households"
DESCRIPTION:Abstract: Pairwise survival analysis handles dependent happenings in infectious disease transmission data by analyzing failure times in ordered pairs of individuals. The contact interval in the pair ij is the time from the onset of infectiousness in i to infectious contact from i to j\, where an infectious contact is sufficient to infect j if he or she is susceptible. The contact interval distribution determines transmission probabilities and the infectiousness profile of infected individuals. Many important questions in infectious disease epidemiology involve the effects of covariates (e.g.\, age or vaccination status) on transmission. Here\, we generalize earlier pairwise methods in two ways: First\, we introduce an accelerated failure time model that allows the contact interval rate parameter to depend on infectiousness covariates for i\, susceptibility covariates for j\, and pairwise covariates. Second\, we show how internal infections (caused by individuals under observation) and external infections (caused environmental or community sources) can be handled simultaneously. In simulations\, we show that these methods produce valid point and interval estimates and that accounting for external infections is critical to consistent estimation. Finally\, we use these methods to analyze household surveillance data from Los Angeles County during the 2009 influenza A(H1N1) pandemic.\n\n\nSpeaker: Yushuf Sharker\, Ph.D.\, Takeda Pharmaceuticals\, USA
URL:https://isrt.ac.bd/event/applied-statistics-seminar-on-pairwise-accelerated-failure-time-models-for-infectious-disease-transmission-within-and-between-households/
LOCATION:isrt seminar room
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230612T120000
DTEND;TZID=UTC:20230612T130000
DTSTAMP:20260424T145242
CREATED:20230607T174356Z
LAST-MODIFIED:20230612T052057Z
UID:5733-1686571200-1686574800@isrt.ac.bd
SUMMARY:Seminar on Classification and Clustering for RNA-seq data with variable selection 
DESCRIPTION:Speaker: Tanbin Rahman PhD\, FDA\, USA\n\nTitle: Classification and Clustering for RNA-seq data with variable selection\n\nAbstract: Clustering and classification play an important role in identifying sub-types of complex diseases as well as building a predictive model in the field of medicine. In recent years\, lowering of cost and high accuracy has made RNA-seq widely popular which is expected to continue to grow over the next few years. One of the important features of RNA-seq data is its count data structure. While there has been a great deal of literature in both clustering and classification methods\, most of them are either heuristic or suitable for continuous data and do not directly generalize to count data.\n\nIn the first part of the presentation\, we develop a negative binomial mixture model with lasso or fused lasso gene regularization to cluster samples (small n) with high-dimensional gene features (large p). A modified EM algorithm and Bayesian information criterion are used for inference and determining tuning parameters. The method is compared with existing methods using extensive simulations and two real transcriptomic applications in rat brain and breast cancer studies. The result shows the superior performance of the proposed count data model in clustering accuracy\, feature selection\, and biological interpretation in pathways. \nIn the second part of this presentation\, we will discuss a classification model based on negative binomial distribution via generalized linear model framework with double regularization for gene and covariate sparsity to accommodate three key elements: adequate modeling of count data with overdispersion\, gene selection and adjustment for covariate effect. The proposed method is evaluated in simulations and two real applications using cervical tumor miRNA-seq data and schizophrenia post-mortem brain tissue RNA-seq data to demonstrate its superior performance in prediction accuracy and feature selection.
URL:https://isrt.ac.bd/event/classification-and-clustering-for-rna-seq-data-with-variable-selection/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230319T140000
DTEND;TZID=UTC:20230319T163000
DTSTAMP:20260424T145242
CREATED:20230315T141721Z
LAST-MODIFIED:20230315T141721Z
UID:5641-1679234400-1679243400@isrt.ac.bd
SUMMARY:Workshop on Research Methodology and Scientific Publication at ISRT for M.S. Students
DESCRIPTION:Details can be found at https://www.isrt.ac.bd/workshop\n\nDate and Time: Sunday\, 19th March 2023\, 2:00 p.m. – 4:30 p.m.\nVenue: Institute of Statistical Research and Training (ISRT) \, Room # 303\nTechnical Support: AdSEARCH by icddr\,b\nCo-ordinators: Ahmed Ehsanur Rahman\, Associate Scientist\, MCHD\, icddr\,b\nAnisuddin Ahmed\, Assistant Scientist and Project Coordinator\, MCHD\, icddr\,b \n\nSession I: Experimental Study Designs (Cross Over Design\, Stepped Wedge Randomized\nControl Trial)\nFacilitator: Fariya Rahman\, Research Investigator\, Maternal and Child Health Division\, icddr\,b\n\nSession II: How to Convince the Editor to Publish Your Manuscript in a Scientific Journal\nFacilitator: Abu Sayeed Shuvo\, Research Fellow\, Maternal and Child Health Division\, icddr\,b
URL:https://isrt.ac.bd/event/workshop-on-research-methodology-and-scientific-publication-at-isrt-for-m-s-students/
CATEGORIES:workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230227T133000
DTEND;TZID=UTC:20230227T143000
DTSTAMP:20260424T145242
CREATED:20230225T183508Z
LAST-MODIFIED:20230225T183508Z
UID:5608-1677504600-1677508200@isrt.ac.bd
SUMMARY:Special Applied Statistics Seminar on "Health Statistics in Bangladesh"
DESCRIPTION:Prof. Dr. Syed Abdul Hamid (https://ihe.ac.bd/faculty/syedabdulhamid)\, Health Institute\, Dhaka University\, will give a talk on “Health Statistics in Bangladesh” at ISRT on February 27\, 2023\, from 1.30-2.30 pm. He is an expert on Health Statistics. This talk is being arranged on the eve of National Statistics Day to be celebrated country-wide on February 27\, 2023.
URL:https://isrt.ac.bd/event/special-applied-statistics-seminar-on-health-statistics-in-bangladesh/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230218T080000
DTEND;TZID=UTC:20230218T180000
DTSTAMP:20260424T145242
CREATED:20230202T184900Z
LAST-MODIFIED:20230202T185005Z
UID:5588-1676707200-1676743200@isrt.ac.bd
SUMMARY:ISRT Alumni (ISRTAA) Reunion 2023 is on 18 February\, 2023
DESCRIPTION:ISRT Alumni (ISRTAA) Reunion 2023 will occur on February 18\, 2023\, on ISRT premises. All graduates are encouraged to attend the event. Details of the reunion event can be found on the website https://isrtalumni.org/reunion2023 and the reunion registration site (http://isrtalumni.org/reunion2023/reunion-2023-registration).
URL:https://isrt.ac.bd/event/isrt-alumni-isrtaa-reunion-2023/
CATEGORIES:other
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2023/02/Final-version-of-ISRTAA-Reunion-2023-Flyer.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230207T120000
DTEND;TZID=UTC:20230207T130000
DTSTAMP:20260424T145242
CREATED:20230203T150054Z
LAST-MODIFIED:20230205T084015Z
UID:5593-1675771200-1675774800@isrt.ac.bd
SUMMARY:Applied Statistics Seminar on Tuesday (February 7\, 2023) at 12 PM
DESCRIPTION:Abstract:\nThe exchangeability of units between treatment groups is a key and typically untestable assumption for evaluating causal intervention effects in observational studies. Standard methods assuming exchangeability can yield biased treatment effect estimates if the assumption does not hold. Existing methods evaluate the sensitivity of treatment effect estimates to non-exchangeability due to unmeasured confounders only. In practice\, non-exchangeability can occur for either unmeasured confounders or reverse causality. We propose an index of sensitivity to non-exchangeability (ISENSE) to measure the impact of non-exchangeability on treatment effect estimates. Unlike existing methods\, ISENSE does not require imposing assumptions on the types\, numbers\, and distributions of unmeasured confounders\, and it can handle both unmeasured confounders and reverse causality. ISENSE is a computationally inexpensive local sensitivity method based on a Taylor-series approximation to the non-exchangeability likelihood\, evaluated at the parameter estimates under the exchangeability assumption. One can interpret ISENSE intuitively through the unit-free “MinNE” statistic values that capture the minimum non-exchangeability needed to cause important sensitivity. We evaluate ISENSE using simulation studies and illustrate its use with an example using administrative data from British Columbia\, Canada.\n\n\nPresenter:\n\n\nMd Rashedul Hoque\nPh.D. Candidate\, SFU\nMethodologist\, Statistics Canada\nTrainee Biostatistician\, Arthritis Research Canada\nMob: +1 778 882 0689
URL:https://isrt.ac.bd/event/applied-statistics-seminar-on-tuesday-february-7-2023-at-2pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230110T140000
DTEND;TZID=UTC:20230110T150000
DTSTAMP:20260424T145242
CREATED:20230110T072719Z
LAST-MODIFIED:20230110T072719Z
UID:5551-1673359200-1673362800@isrt.ac.bd
SUMMARY:Applied Statistics Seminar on Tuesday\, 10 January 2023 at 2 PM.
DESCRIPTION:The speaker will be Argho Sarkar\, a Ph.D. candidate at the University of Maryland\, USA. He will give a talk on “Deep Learning for Climate Change: Challenges\, Progress\, and Possibilities.”  Besides presenting his research\, Argho will also talk about his experiences as a graduate student at the University of Maryland.\n\nThe seminar will take place in the ISRT Seminar Room at 2 PM.
URL:https://isrt.ac.bd/event/applied-statistics-seminar-on-tuesday-10-january-2023-at-2-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221228
DTEND;VALUE=DATE:20221229
DTSTAMP:20260424T145242
CREATED:20221226T075540Z
LAST-MODIFIED:20221226T121715Z
UID:5515-1672185600-1672271999@isrt.ac.bd
SUMMARY:Fresher Reception and Farewell on December 28\, 2022
DESCRIPTION:The freshers’ Reception (28th batch) and Farewell (23rd batch) program will be held on Wednesday\, Dec 28\, 2022\, at 10.00 am at the TSC auditorium. Honorable Pro-Vice Chancellor (Academic) Prof. Dr. A. S. M. Maksud Kamal has given kind consent to join us as chief guest\, and the special guest of the event is Prof. Dr. Md. Abdus Samad\, Dean\, Faculty of Science. \n  \nDetails are given in the attached invitation card. \n 
URL:https://isrt.ac.bd/event/fresher-reception-and-farewell-on-december-28-2022/
CATEGORIES:Reception and Farewell
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221227T080000
DTEND;TZID=UTC:20221227T110000
DTSTAMP:20260424T145242
CREATED:20221226T054313Z
LAST-MODIFIED:20221226T054313Z
UID:5513-1672128000-1672138800@isrt.ac.bd
SUMMARY:Inter-department Cricket Match against Pharmacy Department on 27 December 2022 (Tuesday) at 8.30 am
DESCRIPTION:We are pleased to announce that the ISRT cricket team will play against the Department of Pharmacy on 27 December 2022 (Tuesday) at 8.30 am in the university’s central playground.
URL:https://isrt.ac.bd/event/inter-department-cricket-match-against-pharmacy-department-on-27-december-2022-tuesday-at-8-30-am/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221220T140000
DTEND;TZID=UTC:20221220T153000
DTSTAMP:20260424T145242
CREATED:20221211T031929Z
LAST-MODIFIED:20221211T031929Z
UID:5487-1671544800-1671550200@isrt.ac.bd
SUMMARY:Seminar on "Anomaly Detection in Temporal Networks through Topological Features and Motifs with Application to Mobility Data" at 2 pm on December 20\, 2022
DESCRIPTION:Speaker: Dr. Asim Kumer Dey\, Brac University \nVenue: ISRT seminar room \nDate and time: 2 pm on Tuesday\, 20 December 2022 \nTitle: Anomaly Detection in Temporal Networks through Topological Features and Motifs with Application to Mobility Data \nAbstract: This paper aims to shed light on the potential relations among various higher-order network topological features and meso-level functionality of temporal networks. In particular\, we evaluate higher-order topological features\, e.g.\, motif\, betti number\, and persistence images\, to characterize the dynamics of a temporal network. We then use the functional data depth techniques on the resultant betti functions and vectorized persistent images to identify abnormal behavior in the temporal network. We apply the proposed methods to the temporal human mobility networks. Experiments on both synthetic temporal networks and human mobility networks demonstrate the effectiveness of the proposed methods. \n 
URL:https://isrt.ac.bd/event/seminar-on-anomaly-detection-in-temporal-networks-through-topological-features-and-motifs-with-application-to-mobility-data-at-2-pm-on-december-20-2022/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221217
DTEND;VALUE=DATE:20221219
DTSTAMP:20260424T145242
CREATED:20220829T085618Z
LAST-MODIFIED:20221212T052228Z
UID:5341-1671235200-1671407999@isrt.ac.bd
SUMMARY:Workshop on Measuring Effective Coverage for Monitoring and Evaluation of Selected SDG Indicators on December 17-18\, 2022
DESCRIPTION:A national workshop on Measuring Effective Coverage for Monitoring and Evaluation of Selected SDG Indicators to be held on December 17-18\, 2022\, at the Institute of Statistical Research and Training (ISRT)\, University of Dhaka\, Dhaka 1000\, Bangladesh. For details\, see the flyer and https://www.isrt.ac.bd/workshop.
URL:https://isrt.ac.bd/event/workshop-on-measuring-effective-coverage-for-monitoring-and-evaluation-of-selected-sdg-indicators-on-december-17-18-2022/
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2022/08/Flyer_SDG_final.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221206T140000
DTEND;TZID=UTC:20221206T150000
DTSTAMP:20260424T145242
CREATED:20221126T152410Z
LAST-MODIFIED:20221126T152410Z
UID:5467-1670335200-1670338800@isrt.ac.bd
SUMMARY:Seminar on Subgroup Analysis with Differential Treatment Effects and Biomarker Identification at 2 pm on December 6\, 2022
DESCRIPTION:Title: Subgroup Analysis with Differential Treatment Effects and Biomarker Identification \nAbstract: \nIn the process of drug development and regulatory decision making\, it is important to characterize heterogeneity of subject response to treatment. The heterogenous effect is typically assessed based on variety of information on clinical\, gene and protein expression markers\, commonly known as biomarkers. Previous studies have shown that mRNA expression patterns of tumor samples can predict clinical outcome of cancer patients. Altered mRNA expression profiles from tumor samples can serve as the\nmolecular basis of the cancer patients and hence can be used as the molecular signatures for subgrouping of patients with different survival. The primary objective of this research is two-fold: i) to integrate multi-omic data such as mRNA expression profiles and the copy number variations in order to identify mutated driver genes\, and ii) to use a significant set of driver mutated latent gene structures to identify breast cancer patient subgroups with distinguishable clinical outcomes. As an example\, differential treatment effects of cardio-respiratory fitness (CRF) are assessed on survival experience of a group of individuals from an observational study. Similar approach will be considered to identify subgroups of breast cancer patients with different clinical outcomes. \n  \nSpeaker: \nDr. Munni Begum\nPROFESSOR OF MATHEMATICAL SCIENCES AND DIRECTOR OF THE DATA SCIENCE AND ANALYTICS PROGRAMS\nBall State University\nhttps://www.bsu.edu/academics/collegesanddepartments/math/about/facultyandstaff/faculty/begummunni
URL:https://isrt.ac.bd/event/seminar-on-subgroup-analysis-with-differential-treatment-effects-and-biomarker-identification-at-2-pm-on-december-6-2022/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221101T140000
DTEND;TZID=UTC:20221101T150000
DTSTAMP:20260424T145242
CREATED:20221031T174157Z
LAST-MODIFIED:20221031T174157Z
UID:5456-1667311200-1667314800@isrt.ac.bd
SUMMARY:ISRT Applied Statistics Seminar on November 1 (Tuesday) at 2:00PM on "Foundational Learning Skills of Children in Bangladesh: What We Learned from MICS"
DESCRIPTION:Dr. Mohaimen Mansur will give a talk on “Foundational Learning Skills of Children in Bangladesh: What We Learned from MICS”.  Dr. Mansur is an Associate Professor at the Institute of Statistical Research and Training (ISRT)\, University of Dhaka.
URL:https://isrt.ac.bd/event/isrt-applied-statistics-seminar-on-november-1-tuesday-at-200pm-on-foundational-learning-skills-of-children-in-bangladesh-what-we-learned-from-mics/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221025T140000
DTEND;TZID=UTC:20221025T150000
DTSTAMP:20260424T145242
CREATED:20221023T155035Z
LAST-MODIFIED:20221023T155035Z
UID:5433-1666706400-1666710000@isrt.ac.bd
SUMMARY:
DESCRIPTION:An “ISRT Applied Statistics Seminar” on October 25 (Tuesday) at 2:00 PM (Venue: ISRT Seminar Room). Mrs. Tasnim Ara will talk on “Explaining geo-spatial variation in mobile phone ownership among rural women of Bangladesh: A multi-level and multidimensional approach”. Mrs. Tasnim Ara is a lecturer at the Institute of Statistical Research and Training (ISRT)\, University of Dhaka.
URL:https://isrt.ac.bd/event/5433/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221025T140000
DTEND;TZID=UTC:20221025T150000
DTSTAMP:20260424T145242
CREATED:20221023T155601Z
LAST-MODIFIED:20221023T155847Z
UID:5435-1666706400-1666710000@isrt.ac.bd
SUMMARY:ISRT Applied Statistics Seminar on October 25 (Tuesday) at 2:00 PM
DESCRIPTION:An “ISRT Applied Statistics Seminar” on October 25 (Tuesday) at 2:00 PM (Venue: ISRT Seminar Room). Mrs. Tasnim Ara will talk on “Explaining geo-spatial variation in mobile phone ownership among rural women of Bangladesh: A multi-level and multidimensional approach.” Mrs. Tasnim Ara is a lecturer at the Institute of Statistical Research and Training (ISRT)\, University of Dhaka.\n \nFurther details about her talk are attached.
URL:https://isrt.ac.bd/event/isrt-applied-statistics-seminar-on-october-25-tuesday-at-200-pm/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221022
DTEND;VALUE=DATE:20221024
DTSTAMP:20260424T145242
CREATED:20221018T161857Z
LAST-MODIFIED:20221018T161857Z
UID:5415-1666396800-1666569599@isrt.ac.bd
SUMMARY:Research and Publication Fair on October 22-23\, 2022
DESCRIPTION:Research and Publication Fair scheduled to be held during October 22-23\, 2022.
URL:https://isrt.ac.bd/event/research-and-publication-fair-on-october-22-23-2022/
LOCATION:Playing Ground\, DU
ATTACH;FMTTYPE=image/png:https://isrt.ac.bd/wp-content/uploads/2022/10/Screen-Shot-2022-10-18-at-10.13.08-PM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221012T090000
DTEND;TZID=UTC:20221012T100000
DTSTAMP:20260424T145242
CREATED:20221011T162333Z
LAST-MODIFIED:20221011T162450Z
UID:5401-1665565200-1665568800@isrt.ac.bd
SUMMARY:A farewell program for Prof. Dr. Sekandar Hayat Khan
DESCRIPTION:A farewell program for Prof. Dr. Sekandar Hayat Khan sir will be held at 9.00 am tomorrow (Wednesday\, Oct 12\, 2022) in the ISRT Seminar Room. \nProf. Dr. A.S.M.  Maksud Kamal\, Pro-Vice-Chancellor (Academic)\, will join the event as the chief guest. You are cordially invited to join the program. \n 
URL:https://isrt.ac.bd/event/5401/
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/png:https://isrt.ac.bd/wp-content/uploads/2022/10/Screen-Shot-2022-10-11-at-10.19.50-PM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220920T140000
DTEND;TZID=UTC:20220920T150000
DTSTAMP:20260424T145242
CREATED:20220918T091217Z
LAST-MODIFIED:20220918T091217Z
UID:5392-1663682400-1663686000@isrt.ac.bd
SUMMARY:Seminar on "The Impact of Food Insecurity on Health Status\, Suicidal Ideation and Quality of Life Among Adults Living in Poverty: A Study in Urban Slums of Bangladesh"
DESCRIPTION:Title:  The Impact of Food Insecurity on Health Status\, Suicidal Ideation and Quality of Life Among Adults Living in Poverty: A Study in Urban Slums of Bangladesh \n  \nAbstract: \nFood insecurity is an ongoing public health issue in developing countries\, including Bangladesh\, exacerbated by the ongoing COVID-19 pandemic. It has considerable health impacts on the physical\, social\, and psychological status of individuals in communities suffering from food insecurity. This study aimed to determine factors associated with household food insecurity\, physical illness\, suicidal ideation\, and quality of life. A cross-sectional study was conducted among 698 adults in the Mirpur and Tongi slum region in Bangladesh using a semi-structured questionnaire. The analysis found that the prevalence of food insecurity was high among adults who are 40 years old and in households with larger family sizes; individuals without education were at higher risk of food insecurity; day laborers and transport drivers were at the highest risk of food; property owner was at lower risk of food insecurity compared to who does not have any types of property. The prevalence of food insecurity was also high among people who were suffering from different kinds of physical illness compared to healthy people. Divorced or widowed individuals were more likely to be food insecure than single individuals. Food insecurity was also associated with quality of life negatively. Lower socio-economic status\, poor quality of life\, and pandemic-induced work loss affected household food insecurity. It is suggested that any interventions with financial aid and complemented food distributions\, particularly among the wage looser\, may improve food insecurity. \n  \nSpeaker:  \nMd. Hasinur Rahaman Khan \nProfessor\, ISRT\, University of Dhaka \n  \nTime and. Date:                    September 20\, 2.00:3.00 PM \n  \nSponsor:                                 Centennial Research Grant (CRG)\, University of Dhaka
URL:https://isrt.ac.bd/event/seminar-on-the-impact-of-food-insecurity-on-health-status-suicidal-ideation-and-quality-of-life-among-adults-living-in-poverty-a-study-in-urban-slums-of-bangladesh/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220827T170000
DTEND;TZID=UTC:20220827T183000
DTSTAMP:20260424T145242
CREATED:20220827T113632Z
LAST-MODIFIED:20220827T113632Z
UID:5336-1661619600-1661625000@isrt.ac.bd
SUMMARY:Inter department football match on 28 August 2022: ISRT versus Department of Mathematics
DESCRIPTION:We are delighted to let you know that our second match in the inter-department football tournament 2022 will take place tomorrow (Sunday\, 28 August 2022) at 5:00 pm at the central field of the university. This time the opponent is the Department of Mathematics.
URL:https://isrt.ac.bd/event/inter-department-football-match-on-28-august-2022-isrt-versus-department-of-mathematics/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220814T140000
DTEND;TZID=UTC:20220814T150000
DTSTAMP:20260424T145242
CREATED:20220809T160235Z
LAST-MODIFIED:20220809T160348Z
UID:5321-1660485600-1660489200@isrt.ac.bd
SUMMARY:Seminar on “Identification of delayed transfer of care (DTOC) patients at the time of admission and prediction of their length of stay in NHS hospitals”
DESCRIPTION:Title: “Identification of delayed transfer of care (DTOC) patients at the time of admission and prediction of their length of stay in NHS hospitals” \nSummary: Delayed transfer of care (DTOC)\, also known as bed-blocking has been a persistent challenge for NHS hospitals. It occurs when a patient is clinically ready to be discharged\, however\, the patient cannot be discharged due to unavailability of other necessary care\, support\, or accommodation. The consequences of DTOC are high cost\, mortality\, infections\, depression and reductions in patients’ mobility and their ability to undertake daily activities. In this talk\, a case study based on an NHS hospital will be discussed to identify DTOC patients at the time of admission. Issues related to the date of discharge prediction and other related challenges will be highlighted. \nPresenter: \nMd Asaduzzaman \nAssociate Professor \nDepartment of Engineering\, School of Digital\, Technologies and Arts \nRoom B009A\, Cadman Building\, Staffordshire University \nStoke-on-Trent ST4 2DE\, United Kingdom \n 
URL:https://isrt.ac.bd/event/seminar-on-identification-of-delayed-transfer-of-care-dtoc-patients-at-the-time-of-admission-and-prediction-of-their-length-of-stay-in-nhs-hospitals/
CATEGORIES:seminar
END:VEVENT
END:VCALENDAR