Designing experiments for new-generation scientific studies: some challenges and potential solutions (Tirthankar Dasgupta -- Harvard University)

Starts: 4:00 pm on Friday, January 29, 2016
Ends: 5:00 pm on Friday, January 29, 2016
Location: Math & Computer Science Building, Room 148, 111 Cummington Mall

Abstract: Many modern-day experiments conducted by researches in the physical, social, behavioral, biomedical and management/business sciences involve complications like (a) simultaneous study of multiple factors (b) availability of multiple covariate measurements for each experimental unit – before or after conducting the experiment, necessitating a strategy for achieving covariate balance/adjustment across treatment groups and (c) varying level of randomization restrictions across factors. In this talk, we will present real-life examples of these complications from different fields of application, and discuss some ideas and research results that focus on the development of a unified approach for designing and analyzing experiments that address all of the above complexities.