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X-WR-CALDESC:Events for Institute of Statistical Research and Training
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20201207T073000
DTEND;TZID=UTC:20201208T170000
DTSTAMP:20251026T042833
CREATED:20201102T075618Z
LAST-MODIFIED:20201109T073349Z
UID:4484-1607326200-1607446800@isrt.ac.bd
SUMMARY:International Symposium on Advanced Data Analysis and Operational Research (iADORE2020)
DESCRIPTION:  \nWelcome to the International Symposium on Advanced Data Analysis and Operational Research (iADORE2020). An international symposium that focusses on applications relating to areas of statistics and operation research. The symposium will be held from December 7 through December 8\, 2020\, virtually. iADORE2020 is an excellent platform for statisticians\, operational researchers and industry practitioners to get the latest insight and updates on various applications in many problems. \nInstitute of Statistical Research and Training (ISRT)\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Bangladesh is jointly organizing iADORE2020 with Universiti Teknologi Malaysia (UTM) (the host of iADORE2020) and Andalas Deltin 7 Aviator গেম টাকা ইনকাম\, Indonesia. \nThe theme of the conference is “Enriching Transdisciplinary Research Collaborations Beyond Borders”. This event includes keynote\, skills showcase and contributed sessions. \nFor details visit https://science.utm.my/iadore2020 \n 
URL:https://isrt.ac.bd/event/international-symposium-on-advanced-data-analysis-and-operational-research-iadore2020/
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2020/11/Poster-iADORE2020.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20201010T193000
DTEND;TZID=UTC:20201010T210000
DTSTAMP:20251026T042833
CREATED:20201030T063523Z
LAST-MODIFIED:20201030T063523Z
UID:4474-1602358200-1602363600@isrt.ac.bd
SUMMARY:Opportunities and Challenges for Statisticians During Pandemics
DESCRIPTION:Title “Opportunities and Challenges for Statisticians During Pandemics” \nThe speaker: Abdus S. Wahed\, Professor of Biostatistics\, School of Public Health\, Deltin 7 Aviator গেম টাকা ইনকাম of Pittsburgh\, USA. \nDate & time: Saturday October 10\, 2020 at 7.30 PM (Deltin 7 time). \n  \n—————————Abstract———————————————————————– \nCOVID 19 has dramatically changed the lifestyles of people around the globe. In the midst of pandemic\, all of us are struggling to lead a “normal” life that we have been used to: many have lost their jobs\, homes\, and so on. While the first responders\, e.g.\, police\, physicians\, nurses\, grocery vendors are keeping us afloat risking their lives to COVID\, as statisticians\, we have other challenges to overcome. In this talk\, I will informally talk about challenges and opportunities that pandemic brings to the life of a statistician\, and hope to have a fruitful discussion with colleagues and students. \n———————————————————————————————————
URL:https://isrt.ac.bd/event/opportunities-and-challenges-for-statisticians-during-pandemics/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200726T193000
DTEND;TZID=UTC:20200726T210000
DTSTAMP:20251026T042833
CREATED:20201030T063410Z
LAST-MODIFIED:20201030T063410Z
UID:4472-1595791800-1595797200@isrt.ac.bd
SUMMARY:R Shiny app for the beginners
DESCRIPTION:Title: “R Shiny app for the beginners” \nSpeaker: Nabil Awan\, Assistant Professor (on leave)\, ISRT\, DU and PhD candidate at the Deltin 7 Aviator গেম টাকা ইনকাম of Pittsburgh\, USA. \nDate & Time: Sunday\, July 26\, at 7.30PM \n  \nSuumary: R Shiny app is getting increasingly popular in both industry and academia. One reason is the automation that many companies are focusing on nowadays. Almost all grants in academia have a ‘technology component’ these days that often requires creating an interactive dashboard. There are competitors like Power BI\, Tableau dashboard\, etc. but those can also be integrated with R. Moreover\, using R allows a range of statistical methods that are not readily available in other software. While there are so many free materials available online to learn the R Shiny app\, some of us might have never gotten the time and opportunity to learn it. This session will take a hands-on DIY approach and help the participants create and host their first simple R Shiny app on the spot. We will emphasize explaining the ‘structure’ of the app so that the participants are able to understand the more complex apps available online. This session will also direct the participants to resources where they can learn more.
URL:https://isrt.ac.bd/event/r-shiny-app-for-the-beginners/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200713T090000
DTEND;TZID=UTC:20200713T100000
DTSTAMP:20251026T042833
CREATED:20201030T063253Z
LAST-MODIFIED:20201030T063253Z
UID:4470-1594630800-1594634400@isrt.ac.bd
SUMMARY:A brief introduction to Transcriptomic data analysis
DESCRIPTION:Title: “A brief introduction to Transcriptomic data analysis” \nSpeaker: Dr. Tanbin Rahman\, Postdoctoral Fellow at the MD Anderson Cancer Center\, USA. \nDate & time: Monday\, July 13\, 2020 at 9.00AM \n———————————Summary————————————————————- \nThis presentation will briefly discuss the different types of transcriptomic datasets in the field of statistical genomics. At first\, the structure of the datasets will be discussed. The preprocessing of the datasets followed by Differential Expression (DE) analysis and pathway analysis aimed at identifying the candidate genes and functional annotation of the candidate gene sets respectively\, will be discussed. Finally\, the application of supervised/unsupervised machine learning algorithms in genomic studies will be explored.
URL:https://isrt.ac.bd/event/a-brief-introduction-to-transcriptomic-data-analysis/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200630T110000
DTEND;TZID=UTC:20200630T120000
DTSTAMP:20251026T042833
CREATED:20201030T063146Z
LAST-MODIFIED:20201030T063146Z
UID:4468-1593514800-1593518400@isrt.ac.bd
SUMMARY:Academic Writing Skills: Useful Tips for Beginners
DESCRIPTION:Title: ‘Academic Writing Skills: Useful Tips for Beginners’\, \nSpeaker: Prof. Tamanna Howlader\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \n  \nDate & time: Tuesday\, June 30\, 2020 at 11.30AM.
URL:https://isrt.ac.bd/event/academic-writing-skills-useful-tips-for-beginners/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200628T090000
DTEND;TZID=UTC:20200628T100000
DTSTAMP:20251026T042833
CREATED:20201030T062927Z
LAST-MODIFIED:20201030T062927Z
UID:4464-1593334800-1593338400@isrt.ac.bd
SUMMARY:Introduction to Deep Neural Network using R
DESCRIPTION:Title: “Introduction to Deep Neural Network using R” \n  \nSpeaker: Tuhin Sheikh\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nand PhD candidate at the Deltin 7 Aviator গেম টাকা ইনকাম of Connecticut\, USA\, \n  \nDate and Time: Sunday\, June 28\, 2020 at 9.00AM \n  \n—————————–Summary———————————————— \nThe deep neural network (DNN) modelling has been considered to be a thriving topic in recent years. The DNN can be considered as a generalization of traditional regression analysis. Considering a particular objective of predicting output\, traditional regression analysis extracts low level features based on the observed input covariates. However\, when we deal with high dimensional data and a numerous input features\, low level feature extraction often leads to low prediction accuracy. The DNN on the other hand\, has been found to effective in extracting high level feature with promising prediction accuracy. In DNN\, we assume that similar to the neural system\, the input covariates go through different neurons at different layers until it reaches the final output layer. The higher the number of middle layers\, the deeper the network is. If there is no (hidden) layers in the middle\, it generalizes to only input and output layer as in traditional regression. Like regression\, DNN requires a loss function and criterion for minimization. The key difference would be\, extraction of hidden features and connecting those to the final output prediction. \nDue to the advancement of computer algorithms and emergence of interesting data\, this research field has been found to interesting in present times. Many big companies (e.g. Google\, Facebook\, Boehringer Ingelheim\, etc.) have been practicing deep neural network modelling due to the satisfactory performance. In the past\, mostly computer scientists and engineers contributed in this field. However\, the attractive mathematical foundation behind this interesting methodology got the attention of the Statisticians recently. As Statisticians\, there are huge scopes to contribute to this emerging field through statistical innovation. In this session\, the audience can expect the discussion on background and basic mathematical foundation of DNN. Also\, I will introduce an R package “Keras”\, which can be used to work with deep neural network. At the end of the discussion on this interesting topic\, I will spend some time discussing higher study experience in USA.
URL:https://isrt.ac.bd/event/introduction-to-deep-neural-network-using-r/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200624T150000
DTEND;TZID=UTC:20200624T170000
DTSTAMP:20251026T042833
CREATED:20201030T063035Z
LAST-MODIFIED:20201030T063035Z
UID:4466-1593010800-1593018000@isrt.ac.bd
SUMMARY:Sample Size Determination for Survey Research
DESCRIPTION:Title: “Sample Size Determination for Survey Research” \nSpeaker: Prof. Muhammad Shuaib\, ISRT\,  Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate & time: Wednesday\, June 24\, 2020\, at 3.15 PM.
URL:https://isrt.ac.bd/event/sample-size-determination-for-survey-research/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200622T110000
DTEND;TZID=UTC:20200622T130000
DTSTAMP:20251026T042833
CREATED:20201030T062800Z
LAST-MODIFIED:20201030T062808Z
UID:4462-1592823600-1592830800@isrt.ac.bd
SUMMARY:Academic Writing
DESCRIPTION:Title: “Academic Writing” \nSpeaker: Professor Syed Shahadat Hossain \, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate and Time: Monday\, June 22\, 2020 at 11.00AM.
URL:https://isrt.ac.bd/event/academic-writing/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200617T110000
DTEND;TZID=UTC:20200617T130000
DTSTAMP:20251026T042833
CREATED:20201030T062612Z
LAST-MODIFIED:20201030T062612Z
UID:4458-1592391600-1592398800@isrt.ac.bd
SUMMARY:Visualizing world-wide Covid-19 data using R\, especially ggplot2
DESCRIPTION:Title:  “Visualizing world-wide Covid-19 data using R\, especially ggplot2” \n  \nSpeaker: Professor Mahbub Latif \, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate &Time: Wednesday\, June 17\, 2020 at 11.00 AM.
URL:https://isrt.ac.bd/event/visualizing-world-wide-covid-19-data-using-r-especially-ggplot2/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200213T093000
DTEND;TZID=UTC:20200213T130000
DTSTAMP:20251026T042833
CREATED:20200210T064733Z
LAST-MODIFIED:20200210T064733Z
UID:4155-1581586200-1581598800@isrt.ac.bd
SUMMARY:Photography exhibition and competition on 13 February 2020 (Thursday)
DESCRIPTION:ISRT Student Club is organizing a Photography Competition and Exhibition on the theme ‘Exploring Bangladesh’. Both the students and faculty members of ISRT can take part in the exhibition.  \nTime and Venue: 9:30 am\, ISRT premise
URL:https://isrt.ac.bd/event/photography-exhibition-and-competition-on-13-february-2020-thursday/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200211T140000
DTEND;TZID=UTC:20200211T170000
DTSTAMP:20251026T042833
CREATED:20200210T064158Z
LAST-MODIFIED:20200210T064158Z
UID:4152-1581429600-1581440400@isrt.ac.bd
SUMMARY:Public Speaking Competition for students on 11 February 2020 (Tuesday)
DESCRIPTION:Public Speaking Competition \nTime and venue: 2:00 pm\, ISRT Seminar Room \nOrganized by ISRT student club
URL:https://isrt.ac.bd/event/public-speaking-competition-for-students-on-11-february-2020-tuesday/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200203T113000
DTEND;TZID=UTC:20200203T130000
DTSTAMP:20251026T042833
CREATED:20200130T022629Z
LAST-MODIFIED:20200130T024252Z
UID:4138-1580729400-1580734800@isrt.ac.bd
SUMMARY:Big Data Analytics: Wisdom or Folly!
DESCRIPTION:Title: Big Data Analytics: Wisdom or Folly! \n\nTime and venue: 11:30 am on 3rd of February (Monday) 2020 in ISRT Seminar Room\n\nSpeaker: Ejaz Ahmed\, PhD Professor at Brock Deltin 7 Aviator গেম টাকা ইনকাম\, Canada\n\nAbstract:\n\nThere are hosts of buzzwords in today’s data-centric world\, and especially in digital and print media. We encounter data in every walks of life\, and for analytically and objectively-minded people\, data is everything. However\, making sense of the data and extracting meaningful information from it may not be an easy task. We come across buzzwords such as big data\, high dimensional data\, data science\, and open data without a proper definition of such words. The rapid growth in the size and scope of data sets in a host of disciplines has created a need for innovative statistical strategies analyzing such data. For example\, many private and public agencies are using sophisticated data mining strategies and/or big data analytics to reveal patterns based on collected information. Some examples of big data that have prompted demand are digital marketing\, customer service standards\, gene expression arrays\, social network modeling\, clinical\, genetics and phenotypic data. \nThe need for novel statistical strategies to analyze such data sets is pressing. This talk focuses on the development of statistical and computational strategies for a sparse regression model in the presence of mixed signals. The existing estimation methods have often ignored contributions from weak signals. However\, in real scenario many predictors altogether provide useful information for prediction\, although the amount of such useful information in a single predictor might be modest. The search for such signals\, sometimes called networks or pathways\, is for instance an important topic for those working on personalized medicine. We discuss a new “post selection shrinkage estimation strategy” that takes into account the joint impact of both strong and weak signals to improve the prediction accuracy and opens pathways for further research in such scenarios.
URL:https://isrt.ac.bd/event/big-data-analytics-wisdom-or-folly/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200102T150000
DTEND;TZID=UTC:20200102T160000
DTSTAMP:20251026T042833
CREATED:20191230T084938Z
LAST-MODIFIED:20191230T090712Z
UID:3875-1577977200-1577980800@isrt.ac.bd
SUMMARY:Is Data Science the next step for the Statisticians?
DESCRIPTION:Data Science was hot a few years ago. It is no longer a hot topic. The tremendous growth in terms of using/adopting data science\, machine learning that the scientific community and the industry have observed over the past two years is noteworthy. Good thing is\, statisticians are gradually coming out of their cocoon to experience the new landscape. In this talk\, I will discuss why and how statisticians should take the next steps to learn machine learning before they (statisticians) potentially become obsolete in the industry.
URL:https://isrt.ac.bd/event/is-data-science-the-next-step-for-the-statisticians/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191227
DTEND;VALUE=DATE:20191230
DTSTAMP:20251026T042833
CREATED:20190929T034158Z
LAST-MODIFIED:20190929T034158Z
UID:3688-1577404800-1577663999@isrt.ac.bd
SUMMARY:2nd International Conference on Applied Statistics 2019 (ICAS2019)
DESCRIPTION:ISRT welcomes you to attend the Second International Conference on Applied Statistics (ICAS) 2019 with the theme Emerging Challenges in a Data-Centric World. The aim of this conference is to highlight the challenges and discuss the solutions to emerging statistical problems in the era of the data revolution. Researchers\, academicians\, and representatives from business\, industry\, government and non-governments organizations are invited to participate in the event. For abstract submission and other details please visit https://icas2019.isrt.ac.bd/
URL:https://isrt.ac.bd/event/2nd-international-conference-on-applied-statistics-2019-icas2019/
LOCATION:Nabab Nawab Ali Chowdhury Senate Bhaban\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Bangladesh\, 1000
CATEGORIES:conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191217
DTEND;VALUE=DATE:20191220
DTSTAMP:20251026T042833
CREATED:20190413T135939Z
LAST-MODIFIED:20190813T104833Z
UID:3180-1576540800-1576799999@isrt.ac.bd
SUMMARY:International Workshop Sponsored by ISI and World Bank in December 2019
DESCRIPTION:International Workshop on Sampling Methodologies for Monitoring Sustainable Development Goal Indicators\, sponsored by the International Statistical Institute (ISI) and World Bank (WB)\, to be organized by the Institute of Statistical Research and Training (ISRT)\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Bangladesh in December 17-19\, 2019. Main objectives are to understand key concepts of SDGs\, the targets and indicators\, gain familiarity with the indicator framework and Statistical Quality Assurance Framework (SQAF)\, understand the sampling designs commonly used to monitor SDG indicators and appreciate the role of surveys in measuring SDG indicators\, learn new technologies for survey data collection\, entry\, analysis and visualization and gain practical experience through presentations\, group work and case studies. Intended participants are the academicians\, scholars\, employees of national statistical offices as well as government and non-government organizations\, practitioners\, students and postgraduates of SAARC member countries. \nFor details visit https://www.isrt.ac.bd/workshop/
URL:https://isrt.ac.bd/event/international-workshop/
CATEGORIES:workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191203T140000
DTEND;TZID=UTC:20191203T153000
DTSTAMP:20251026T042833
CREATED:20191124T172807Z
LAST-MODIFIED:20191124T172807Z
UID:3762-1575381600-1575387000@isrt.ac.bd
SUMMARY:PhD seminar talk on Tuesday\, December 3\, 2019 at 2pm
DESCRIPTION:Title: Modified Inferential Methods on Restricted Parameters in Multivariate Regression Analysis: Applications in Socio-demographic Research\n\nSpeaker: Sheikh Mohammad Sayem\, PhD researcher at ISRT\, DU\n\nAbstract:\n\nEfficient and significant empirical estimate of the multivariate regression parameters will be helpful for the policymaker to make the right decisions about sophisticated interrelated issues in the dynamic world. Since the end of the twentieth century\, statisticians are going forward to develop unique working methodology for estimating and testing restricted parameters. This study reviews existing methods and suggests modified maximum likelihood estimator\, modified multivariate t statistic and modified joint confidence interval to get efficient estimates for linear restricted parameters of multivariate regression with continuous responses. A Monte Carlo experiment is conducted to examine relative performance of the modified methods. The proposed methodology has been also applied to detect the numerical nexus among socioeconomic determinants\, food expenditure and total monthly expenditure in “Haor” areas of Bangladesh. The study reveals that logarithm form of total monthly expenditure and food expenditure as multivariate continuous responses are significantly related to total operating land\, logarithm form of family size and total monthly income considering a restriction on the parameters at different level of significance. The modified methods are found to perform significantly better than the existing methods.
URL:https://isrt.ac.bd/event/phd-seminar-talk-on-tuesday-december-3-2019-at-2pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190924T180000
DTEND;TZID=UTC:20191031T210000
DTSTAMP:20251026T042833
CREATED:20190702T093036Z
LAST-MODIFIED:20190922T173931Z
UID:3532-1569348000-1572555600@isrt.ac.bd
SUMMARY:R training program starts on September 24\, 2019
DESCRIPTION:The upcoming R training program begins on September 24\, 2019. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/r/.
URL:https://isrt.ac.bd/event/r-training-program-starts-on-september-24-2019/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190827T140000
DTEND;TZID=UTC:20190827T150000
DTSTAMP:20251026T042833
CREATED:20190813T103955Z
LAST-MODIFIED:20190813T104343Z
UID:3597-1566914400-1566918000@isrt.ac.bd
SUMMARY:PhD seminar talk on August 27 at 2pm
DESCRIPTION:Title: Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model (GCM) Outputs\n\nSpeaker: Md. Bazlur Rashid\n\nAbstract:\nGlobal Climate Model (GCM) has evolved from the Atmospheric General Circulation Models\n(AGCMs) widely used for daily\, seasonal and long term weather prediction. The most widely\nrecognized application is the projection of future climate states under various scenarios of\nincreasing atmospheric elements. Over the last few decades\, GCMs have been developed to\nemulate the present climate system and to project future climate scenarios. Despite notable\ndevelopment\, GCMs do not provide perfect simulations of reality and cannot provide the details\non very small spatial scales due to incomplete scientific understanding and limitations of\navailable observations in our country. For bridging the gap between the scale of GCMs and\nrequired resolution for practical applications\, downscaling provides climate change information\nat a suitable spatial and temporal scale from the GCM data. No downscaling for Bangladesh of\ndetail temperature\, precipitation\, wind speed\, pressure and humidity has been undertaken.\nCurrent research in Bangladesh has not addressed thermal comfort under climate change. In\naddition\, current studies for Bangladesh do not look at seasonality clearly. Extreme events\n(rainfall and temperature)\, thermal comfort\, humidity and wind characteristics\, along with\nseasonality\, under future climate in Bangladesh represent a further research gap and opportunity\nfor this research. The main object of study will attempt to find and/or develop efficient statistical\nmethods/tools for climate projection. The specific objectives are (i) to identify suitable model\nwith bias corrections for climate projection using climate model outputs; (ii) to explore the\neffectiveness of the bias correction statistical downscaling method in addressing the model-\nrelated uncertainties involved in future climate predictions; (iii) to identify a suitable\ndownscaling approach for climate model data to allow daily/ monthly or seasonal meteorological\nclimate impact studies; (iv) to develop modify algorithms for quantifying the time-variant\nuncertainty associated with meteorological extreme weather systems and persistent events under\nfuture climate scenarios and (v) to cross check between available statistical downscaling\ntechniques for future climate projections and scenarios generation over Bangladesh. So\, GCM\ninformation can be enhanced for better representation of the conditions in specific places by\nusing historically observed local climate information from weather stations. Statistical\nDownscaling of climate model can include independent components of climatic signals like El\nNino-Southern Oscillations (ENSO)\, Indian Ocean Dipole (IOD) and Pacific Decadal\nOscillations (PDO) for a long-lead weather forecast. So\, this information can also be used to\nimprove the future climate projections to assess potential impacts and guide climate-smart\ndecisions about climate resilience in Bangladesh.
URL:https://isrt.ac.bd/event/3597/
LOCATION:isrt seminar room
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190730T140000
DTEND;TZID=UTC:20190730T150000
DTSTAMP:20251026T042833
CREATED:20190727T010829Z
LAST-MODIFIED:20190727T010829Z
UID:3560-1564495200-1564498800@isrt.ac.bd
SUMMARY:Seminar on Tuesday\, 30th July 2019 from 2:00-3:00 pm
DESCRIPTION:Title: Optimum designs for multiple objectives \nSpeaker: Mahbub Latif\, PhD \nProfessor\, ISRT \nDeltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nVenue: ISRT Seminar Room \nAbstract: \nTBA
URL:https://isrt.ac.bd/event/seminar-on-tuesday-30th-july-2019-from-200-300-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190327T180000
DTEND;TZID=UTC:20190430T210000
DTSTAMP:20251026T042833
CREATED:20190206T123240Z
LAST-MODIFIED:20190206T123240Z
UID:3073-1553709600-1556658000@isrt.ac.bd
SUMMARY:SPSS and Stata training
DESCRIPTION:ISRT offers training programs on Applied Statistics using SPSS and Applied Statistics using Stata on a regular basis. These programs aim at training the participants a basic idea of statistics at the same time elaborating how to interpret the results obtained from SPSS/Stata output. New features of the program include exclusive classes to develop\, discuss and solve practical research problems using large-scale survey data\, and for group presentation of research findings by participants. \nUpcoming program will run during  March 27\, 2019 – April 30\, 2019. For details visit here.
URL:https://isrt.ac.bd/event/spss-and-stata-training/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190212T073000
DTEND;TZID=UTC:20190212T190000
DTSTAMP:20251026T042833
CREATED:20190206T122827Z
LAST-MODIFIED:20190206T122827Z
UID:3071-1549956600-1549998000@isrt.ac.bd
SUMMARY:ISRT Picnic 2019
DESCRIPTION:ISRT annual picnic will be held on February 12\, 2019.
URL:https://isrt.ac.bd/event/isrt-picnic-2019/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190127T130000
DTEND;TZID=UTC:20190209T170000
DTSTAMP:20251026T042833
CREATED:20190130T181759Z
LAST-MODIFIED:20190130T181759Z
UID:3050-1548594000-1549731600@isrt.ac.bd
SUMMARY:Indoor Game
DESCRIPTION:
URL:https://isrt.ac.bd/event/indoor-game/
CATEGORIES:Indoor Game
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190115T140000
DTEND;TZID=UTC:20190115T150000
DTSTAMP:20251026T042833
CREATED:20190107T065821Z
LAST-MODIFIED:20190110T134806Z
UID:2996-1547560800-1547564400@isrt.ac.bd
SUMMARY:Seminar on 15 January Tuesday at 2 pm
DESCRIPTION:Title: Long-run relationship between the unemployment rate and the trade balance in the United States: an empirical analysis \nSpeaker: Haydory Akbar Ahmed \nMissouri State Deltin 7 Aviator গেম টাকা ইনকাম \nDepartment of Economics\, 901 S National Avenue \nSpringfield\, MO 65897\, USA \n  \nAbstract: \nDynamics between the unemployment rate and the trade balance has both economic and political relevance.\nFrom a macroeconomic perspective\, the presence of a long run co-movement or equilibrium relationship\nalong with the nature of the short-run fluctuations in the long run co-movement will help us analyze the\ndynamics between the two in an objective manner. We use quarterly data from 1947: Q1 to 2017: Q4 on\nunemployment and trade balance to GDP ratio in the United States. Although traditional cointegration\ntests fail to detect a statistically significant long run co-movement\, a couple of threshold cointegration tests\nconfirm statistical evidence in favor of threshold cointegration or threshold long run co-movement between\nthe two. Estimated threshold vector error-correction model shows statistically significant evidence of falling\nunemployment rate with deteriorating trade balance. This finding indicates that as unemployment rates go\ndown\, the trade balance deteriorates to maintain the long run co-movement. Arguably\, as unemployment\ndecline imports rise faster than exports causing the trade balance to deteriorate.
URL:https://isrt.ac.bd/event/seminar-on-15-january-tuesday-at-2-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190110T093000
DTEND;TZID=UTC:20190110T103000
DTSTAMP:20251026T042833
CREATED:20190109T141819Z
LAST-MODIFIED:20190109T141826Z
UID:3005-1547112600-1547116200@isrt.ac.bd
SUMMARY:Orientation Program of the 25th Batch is on January 10\, 2019
DESCRIPTION:Orientation Program of the 25th Batch\, to be held tomorrow (Thursday\, January 10\, 2019) at 9:30 a.m. at the seminar room.
URL:https://isrt.ac.bd/event/orientation-program-of-the-25th-batch-is-on-january-10-2019/
LOCATION:isrt seminar room
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181021T140000
DTEND;TZID=UTC:20181021T153000
DTSTAMP:20251026T042833
CREATED:20181019T063917Z
LAST-MODIFIED:20181019T063917Z
UID:2834-1540130400-1540135800@isrt.ac.bd
SUMMARY:Seminar on Sunday\, 21 October 2018 at 2 pm
DESCRIPTION:Title: Joint Modeling of Longitudinal Response and Time-To-Event Data Using Conditional Distributions: A Bayesian Perspective\n\n \nSpeaker: Arindom Chakraborty\, PhD\n\n               Assistant Professor\n               Department of Statistics\n               Visva-Bharati Deltin 7 Aviator গেম টাকা ইনকাম\, India\n \nAbstract: Over last twenty or more years a lot of methodological development and clinical application of joint models of longitudinal and time-to-event outcomes have come up. In these studies patients are followed until an event\, such as death occurs. In most of the articles\, using subject specific random effects as frailty\, the dependency of these two processes has been established. In this article\, we propose a new joint model that consists of a linear mixed effects submodel for longitudinal data and an accelerated failure model for the time-to-event data. These two submodels are linked together by not only latent random process\, but also by the conditional distributional assumption. This model will capture the dependency of the time-to-event on the longitudinal measurements more directly. Using standard priors\, a Bayesian method is developed for estimation. All computations based on the Bayesian inference via MCMC is implemented using OpenBugs. Our proposed method is evaluated by a simulation study which shows the efficiency of the conditional model over two other models: joint models with local independence and independent models. One clinically motivating data on Duchenne muscular dystrophy (DMD) syndrome and a popular data on AIDS are also analyzed.
URL:https://isrt.ac.bd/event/seminar-on-sunday-21-october-2018-at-2-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181016T170000
DTEND;TZID=UTC:20181117T210000
DTSTAMP:20251026T042833
CREATED:20180918T043049Z
LAST-MODIFIED:20181013T190452Z
UID:2777-1539709200-1542488400@isrt.ac.bd
SUMMARY:Training Programs on SPSS and Stata: October 16\, 2018 – November 17\, 2018
DESCRIPTION:ISRT is going to organize the regular training programs on SPSS and Stata from October 16\, 2018 to November 17\, 2018. The deadline for the registration is extended to October 16\, 2018 (Tuesday). Details can be found on the following link: https://www.isrt.ac.bd/training
URL:https://isrt.ac.bd/event/training-programs-on-spss-and-stata-october-16-2018-november-17-2018/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180729T180000
DTEND;TZID=UTC:20180814T210000
DTSTAMP:20251026T042833
CREATED:20180611T200015Z
LAST-MODIFIED:20180729T103035Z
UID:2607-1532887200-1534280400@isrt.ac.bd
SUMMARY:Training program on R for Data Analytics
DESCRIPTION:ISRT is going to conduct an inaugural training program on R for students and professionals from July 29\, 2018. The program is known as R for Data Analytics. This would be the first training program of its kind offered from an academic institution in Bangladesh. R is a programming language and free software environment for statistical computing and graphics. The R language is widely used among statisticians and researchers in other fields for data analysis and developing statistical software. R is easily extensible through functions and extensions\, and the R community is noted for its active contributions in terms of packages. \nFor details visit www.isrt.ac.bd/training/r.
URL:https://isrt.ac.bd/event/training-program-on-r-and-data-analytics/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180717T140000
DTEND;TZID=UTC:20180717T150000
DTSTAMP:20251026T042833
CREATED:20180709T074018Z
LAST-MODIFIED:20180709T074018Z
UID:2670-1531836000-1531839600@isrt.ac.bd
SUMMARY:Seminar on Tuesday\, July 17 at 2 pm
DESCRIPTION:Title: Non-inferiority testing under generalized Poisson distribution\n\nVenue: ISRT seminar room \n\nSpeaker:  Md Abu Manju\, PhD\n                Department of Mathematics and Computer Science\n                Eindhoven Deltin 7 Aviator গেম টাকা ইনকাম of Technology\, Eindhoven\, The Netherlands\n\n \nAbstract: In recent years\, non-inferiority studies for count data have been increasingly used in the evaluation of new test methods or new treatments (e.g.\, microbiological test methods\, particle counters or drugs\, vaccines) and the Poisson distribution is commonly assumed as it provides a standard framework for the analysis of count data. A generalization of the Poisson distribution\, referred to as the generalized Poisson distribution (GPD)\, which models not only overdispersion\, but also underdispersion\, may be more appropriate in certain applications\, including comparison of microbiological test methods. We therefore propose tests for the assessment of non-inferiority and sample size calculation procedures under GPD. Asymptotic likelihood ratio test (LRT)\, Wald and Exact conditional tests are derived\, and the type I error rate and statistical power are computed for these three tests based on simulations. In terms of type I error rate and statistical power\, LRT and Wald test perform similarly\, but the Exact test is conservative and has less type I error rate and power than the LRT and Wald test. Finally\, expressions are derived for calculating the sample sizes that yield sufficient power to test the non-inferiority of the new methods or treatments based on Wald test and LRT.
URL:https://isrt.ac.bd/event/seminar-on-tuesday-july-17-at-2-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180606T103000
DTEND;TZID=UTC:20180606T120000
DTSTAMP:20251026T042833
CREATED:20180604T112349Z
LAST-MODIFIED:20180604T112349Z
UID:2568-1528281000-1528286400@isrt.ac.bd
SUMMARY:Seminar on Wednesday\, June 6\, 2018 at 10:30 am
DESCRIPTION:Title of the Talk: Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?\n\nSpeaker: Dr. M. Ehsan Karim\n\n               Assistant Professor\, SPPH\, UBC\n               Scientist & Biostatistician\, CHEOS\, Canada\n\nVenue: ISRT Seminar room\n\n—————————————Abstract-——————————————————————-\nThe use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing patient’s health status–related information from claims datasets as surrogates or proxies for mismeasured and unobserved confounders\, the high-dimensional propensity score algorithm enables us to reduce bias. Using a previously published cohort study of postmyocardial infarction statin use (1998–2012)\, we compare the performance of the algorithm with a number of popular machine learning approaches for confounder selection in high-dimensional covariate spaces: random forest\, least absolute shrinkage and selection operator\, and elastic net. Our results suggest that\, when the data analysis is done with epidemiologic principles in mind\, machine learning methods perform as well as the high-dimensional propensity score algorithm. Using a plasmode framework that mimicked the empirical data\, we also showed that a hybrid of machine learning and high-dimensional propensity score algorithms generally perform slightly better than both in terms of mean squared error\, when a bias-based analysis is used. This talk is based on a joint work with Menglan Pang and Robert W Platt from McGill Deltin 7 Aviator গেম টাকা ইনকাম [Epidemiology: 2018\,29(2):191–198].\n———————————————————————————————————————–
URL:https://isrt.ac.bd/event/seminar-on-wednesday-june-6-2018-at-1030-am/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180515T140000
DTEND;TZID=UTC:20180515T153000
DTSTAMP:20251026T042833
CREATED:20180515T040605Z
LAST-MODIFIED:20180515T040605Z
UID:2548-1526392800-1526398200@isrt.ac.bd
SUMMARY:Seminar on Tuesday\, 15 May 2018 at 2pm
DESCRIPTION:Title: Modified Inferential Methods on Restricted Parameters in Multivariate Regression Analysis: Applications in Socio-demographic Research \nSpeaker: Sheikh Mohammad Sayem\n\n               PhD Researcher\, ISRT\n \nAbstract: Multivariate regression analysis is getting increasing attention among the socio-demographers due to the complex nature of the interdependence of the response variables. This PhD research is to carry out detailed study on restricted parameters of multivariate regression analysis with continuous\, discrete or mixed responses to seek out or develop efficient point estimation strategy and hence develop appropriate hypothesis testing procedure for hypothesis involving restricted parameters.This seminar will give a clear idea about the specific objectives of the PhD research and about the way how the objectives will be met in line of the existing literature. In this study\, a modified maximum likelihood estimation technique is primarily used for estimating restricted parameters of multivariate regression analysis with continuous responses. A Monte Carlo simulation is carried out to evaluate the performance of the estimators. The relative efficiency of the modified maximum likelihood estimator is found to be higher than the ordinary least square or maximum likelihood estimators.
URL:https://isrt.ac.bd/event/seminar-on-tuesday-15-may-2018-at-2pm/
CATEGORIES:seminar
END:VEVENT
END:VCALENDAR