• Applied Statistics and Data Science Seminar on Monday, September 18, 2023

    Title: The Generalized Variable Importance Metric: A model agnostic method to identify predictor outcome relationship Presenter:  Kaviul Anam khan PhD  in Biostatistics candidate at the Dalla Lana School of Public Health, Deltin 7 Aviator গেম টাকা ইনকাম of Toronto Assistant Professor, Department of Statistical Sciences, Deltin 7 Aviator গেম টাকা ইনকাম of Toronto   Abstract: The aim my research is to define importance of predictors

  • A talk by Bangladesh Data Center Company Limited on Sunday, October 8, 2023

    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: "Empowering Future Leaders of Data-driven Ecosystem through Innovation" This talk is a part of ISRT's initiative to organize career development programs for students and

  • Applied Statistics and Data Science Seminar on Monday, October 9, 2023

    Title: Joint copula-frailty approach to model clustered survival data with dependent censoring (PhD proposal) Venue and time: ISRT, 2:00 pm Presenter:  Nasrin Sultana, PhD student at ISRT Abstract: With 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

  • Applied Statistics and Data Science Seminar on Monday, November 6, 2023

    Title: On the Development and Validation of Risk Prediction Models for Rare Outcomes Venue and time: ISRT, 2:00 pm Presenter:  Dr. Md. Shafiqur Rahman, Professor of Applied Statistics, ISRT Abstract: Risk 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

  • Applied Statistics and Data Science Seminar on Thursday, January 4, 2024

    Title: PARD: Patient-Specific Abnormal Region Detection in Alzheimer’s Disease Studies Venue and time: ISRT, 2:00 pm Speaker: Avizit Adhikary, PhD candidate, Florida State Deltin 7 Aviator গেম টাকা ইনকাম Abstract: Alzheimer’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

  • Applied Statistics and Data Science Seminar on Thursday, January 22, 2024

    Title: Impact of Covid-19 on im(mobility) of informal sector workers in Deltin 7, Bangladesh Venue and time: ISRT, 2:00 pm Speaker: Md. Touhidul Alam, PhD student at Lancaster Environment Centre, Lancaster Deltin 7 Aviator গেম টাকা ইনকাম, UK Abstract: Comparable to many fast-growing cities of the developing world, Deltin 7 city contributes greatly to the national economy (36% of GDP and 32% of

  • Applied Statistics and Data Science Seminar on Thursday, February 1, 2024

    Title: A Introduction to Power BI - Data visualization Venue and time: ISRT, 2:00 pm Speaker: Tawfique Abdur Razzaque, Senior Data Analyst, Business Intelligence, Therap (BD) Ltd.   What is Power BI? Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence. It is part of the

  • Applied Statistics and Data Science Seminar on Monday, February 5, 2024

    Two talks (20 minutes each) Venue and time: ISRT, 2:00 pm Talk 1 Topic : Data Tracker Table Speaker: Nur Mohammad, 2nd year student, ISRT   Talk 2 Topic : Introduction to Typst: a modern typesetting system Speaker: Md. Aminul Islam Shazid, MS student, ISRT

  • A talk by Awan Afiaz on 18 September 2024

    Title: Optimal Sandwich Variance Estimator in Penalized GEE for Nearly Separated Longitudinal Binary Data with Small Samples Venue and time: ISRT, 10:00 am Speaker: Awan Afiaz, PhD candidate at the Department of Biostatistics, Deltin 7 Aviator গেম টাকা ইনকাম of Washington Seattle, WA, USA and ISRT alumnus Abstract: Data separation arises in both independent and correlated binary data in biomedical studies