Seminar on “Data Science Product Development In the (AWS) Cloud” at 2 pm on July 24, 2023

Speaker: Sheikh Samsuzzhan Alam, Senior Data Science Developer for Operation, Novartis Pharma, Czech Republic Venue: ISRT seminar room Date and time: 2 pm on Monday, 24 July 2023 Title: Data Science Product Development In the (AWS) Cloud Abstract: Customer-facing software products are complex in nature and usually developed by multiple teams of engineers. On the other hand, software products

Applied Statistics and Data Science Seminar on August 7 on “Testing linearity in rapid microbiological method validation”

Title: Testing linearity in rapid microbiological method validation Abstract: Testing the linearity of a measurement system (MS) is required during its validation. Guidelines clearly discuss the appropriate design and analysis in testing the linearity of an MS when the data is Gaussian distributed but not for count data. This talk addresses how linearity is tested and

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

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

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