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

Launching ceremony of Applied Statistics and Data Science on October 4, 2023

Nabab Nawab Ali Chowdhury Senate Bhaban, University of Dhaka University of Dhaka, Dhaka, Bangladesh

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

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