Fresher Reception and Farewell on December 28, 2022

The freshers' Reception (28th batch) and Farewell (23rd batch) program will be held on Wednesday, Dec 28, 2022, at 10.00 am at the TSC auditorium. Honorable Pro-Vice Chancellor (Academic) Prof. Dr.

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.

Applied Statistics Seminar on “Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Within and Between Households”

isrt seminar room

Abstract: 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