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