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

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

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

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

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

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

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