A brief introduction to Transcriptomic data analysis

Title: "A brief introduction to Transcriptomic data analysis" Speaker: Dr. Tanbin Rahman, Postdoctoral Fellow at the MD Anderson Cancer Center, USA. Date & time: Monday, July 13, 2020 at 9.00AM ---------------------------------Summary-------------------------------------------------------------

R Shiny app for the beginners

Title: "R Shiny app for the beginners" Speaker: Nabil Awan, Assistant Professor (on leave), ISRT, DU and PhD candidate at the University of Pittsburgh, USA. Date & Time: Sunday, July

Opportunities and Challenges for Statisticians During Pandemics

Title "Opportunities and Challenges for Statisticians During Pandemics" The speaker: Abdus S. Wahed, Professor of Biostatistics, School of Public Health, University of Pittsburgh, USA. Date & time: Saturday October 10, 2020 at 7.30 PM (Dhaka

Condolence meeting and Dua event

On the sad demise of QM Husain Professor Ataharul Islam, the ISRT family is going to organize a "Condolence meeting and Dua event" online on Thursday, Dec 31, 2020 at 7.00PM through

SPSS and Stata training programs to start from January 02, 2021

The upcoming SPSS and Stata training programs will begin on January 02, 2021. For further details (program schedule, registration etc.) please click on the link https://www.isrt.ac.bd/training/spss-and-stata/

R training program (online) starts from February 7, 2021

The upcoming R training program (online) starts from February 7, 2021. For further details (program schedule, registration etc.) please click on the link https://www.isrt.ac.bd/training/r/.

Clinical Trials and application of Statistical Modeling and Machine Learning in Biomedical Data

Title: Clinical Trials and application of Statistical Modeling and Machine Learning in Biomedical Data   Abstract: Clinical trials/research are conducted to examine the clinical questions of practicing physicians. It is important to design trials appropriately in advance.  A randomized, controlled trial is the ultimate design for treatment comparisons at the final confirmatory stage. The need and

An Introduction to R Shiny Application

R Shiny is a platform which allows to utilize all the features of R programming for creating an interactive web application (App). Web application development is recently becoming popular due