Department of Statistics, Harvard University
Location
Mathematics/Psychology : 103
Date & Time
April 29, 2016, 11:00 am – 12:00 pm
Description
Title:
Design and analysis of experiments for new-generation scientific studies: some challenges and potential solutions.
Abstract:
Many modern-day experiments conducted by researches in the 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.