Applied Statistics Seminar on Tuesday (February 7, 2023) at 12 PM

Abstract: The exchangeability of units between treatment groups is a key and typically untestable assumption for evaluating causal intervention effects in observational studies. Standard methods assuming exchangeability can yield biased treatment effect estimates if the assumption does not hold. Existing methods evaluate the sensitivity of treatment effect estimates to non-exchangeability due to unmeasured confounders only.

ISRT Alumni (ISRTAA) Reunion 2023 is on 18 February, 2023

ISRT Alumni (ISRTAA) Reunion 2023 will occur on February 18, 2023, on ISRT premises. All graduates are encouraged to attend the event. Details of the reunion event can be found on the website https://isrtalumni.org/reunion2023 and the reunion registration site (http://isrtalumni.org/reunion2023/reunion-2023-registration).

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 as building a predictive model in the field of medicine. In recent years, lowering of cost and high accuracy has made RNA-seq widely popular which

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