Special Applied Statistics Seminar on “Health Statistics in Bangladesh”
Prof. Dr. Syed Abdul Hamid (https://ihe.ac.bd/faculty/syedabdulhamid), Health Institute, Dhaka University, will give a talk on "Health Statistics in Bangladesh" at ISRT on February 27, 2023, from 1.30-2.30 pm. He is an expert on Health Statistics. This talk is being arranged on the eve of National Statistics Day to be celebrated country-wide on February 27, 2023.
Workshop on Research Methodology and Scientific Publication at ISRT for M.S. Students
Details can be found at https://www.isrt.ac.bd/workshop Date and Time: Sunday, 19th March 2023, 2:00 p.m. - 4:30 p.m. Venue: Institute of Statistical Research and Training (ISRT) , Room # 303 Technical Support: AdSEARCH by icddr,b Co-ordinators: Ahmed Ehsanur Rahman, Associate Scientist, MCHD, icddr,b Anisuddin Ahmed, Assistant Scientist and Project Coordinator, MCHD, icddr,b Session I: Experimental Study Designs
Seminar on Classification and Clustering for RNA-seq data with variable selection
Speaker: Tanbin Rahman PhD, FDA, USA Title: Classification and Clustering for RNA-seq data with variable selection Abstract: Clustering and classification play an important role in identifying sub-types of complex diseases as well
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
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
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 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
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
