Public Talk: Improving Precision by Adjusting for Prognostic Baseline Variables in Randomized Trials with Binary Outcomes, without Regression Model Assumptions

 

 

A public talk delivered by Prof. Micheal Rosenblum on the topic “Improving precision by Adjusting for Prognostic Baseline Variables in Randomized Trials without Regression Model Assumptions”, organized by the Department of Statistics was held on the 17th January 2017 at the IS Lab of the Faculty of Science.

Micheal Rosenblum is an Associated Professor at the Johns Hopkins Bloomberg School of Public Health and is an alumni of Stanford University and MIT in USA. His research interests include adaptive clinical trials, robustness to model misspecification, causal inference and HIV/AIDS prevention and treatment. He has many publications in reputed journals.

This public talk was attended by the Statistics special degree students, MSc students, few professionals from the industry and the academic staff of the Department of Statistics.

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