Applied Statistics Seminar on “Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Within and Between Households”
isrt seminar roomAbstract: Pairwise survival analysis handles dependent happenings in infectious disease transmission data by analyzing failure times in ordered pairs of individuals. The contact interval in the pair ij is the time from the onset of infectiousness in i to infectious contact from i to j, where an infectious contact is sufficient to infect j if he
First match of ISRT in inter-department football tournament 2023 is on Monday, 10 July 2023 at 4:45 PM
ISRT is delighted to announce that the ISRT football team is going to play the first match in the inter-department football tournament 2023 on Monday, 10 July 2023 at 4:45 PM. Opponent is the department of peace and conflict studies. The match will be held at the central ground field of the university.
Second football match of ISRT is against the Department of Marketing on July 17, 2023
The second football match of ISRT will take place tomorrow! The opponent is the Department of Marketing. Time: 17 July 2023, 2:00 PM Venue: DU Central Field
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
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
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
Training programs on Applied Statistics for Data Science using SPSS and Stata to begin from September 10, 2023
The upcoming SPSS and Stata training programs will begin on Septermber 10, 2023. For further details (program schedule, registration etc.) please click on the link https://www.isrt.ac.bd/training/spss-and-stata/
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
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, BangladeshISRT 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 institutions. I invite you to attend the launching ceremony, which will take place on October 4, 2023 at 9:30 a.m. at the Dhaka University Senate
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
