Applied Statistics and Data Science Seminar on Monday, August 21, 2023

Title: Hierarchical structural component models for pathway analysis of longitudinal categorical phenotypes Presenter:  Md. Kamruzzaman, PhD Associate Professor, Jagannath University, Email: kzaman1@isrt.ac.bd   Abstract: Several 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

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, University of Toronto Assistant Professor, Department of Statistical Sciences, University 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 University 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 Dhaka, Bangladesh Venue and time: ISRT, 2:00 pm Speaker: Md. Touhidul Alam, PhD student at Lancaster Environment Centre, Lancaster University, UK Abstract: Comparable to many fast-growing cities of the developing world, Dhaka 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