Dear Applied Statistics Workshop Community,
Our next meeting of the semester will be at *12:10 pm (EST) Wednesday,
March 23*, where José R. Zubizarreta <http://jrzubizarreta.com/> (Harvard
University) presents "Bridging Matching, Regression, and Weighting as
Mathematical Programs for Causal Inference."
*Abstract*
A fundamental principle in the design of observational studies is to
approximate the randomized experiment that would have been conducted under
controlled circumstances. Across the health and social sciences,
statistical methods for covariate adjustment are used in pursuit of this
principle. Typical methods are matching, regression, and weighting. In this
talk, we will examine the connections between these methods through their
underlying mathematical programs. We will study their strengths and
weaknesses in terms of study design, computational tractability, and
statistical efficiency. Overall, we will discuss the role of mathematical
optimization for the design and analysis of studies of causal effects.
*Where:* CGIS Knafel Building, Room K354
(See this link <https://map.harvard.edu/?bld=04471&level=9> for directions).
*When:* Wednesday, March 23 at 12:10 - 1:30 pm.
(Bagged lunches available for pick-up at CGIS K354 *11:30 - 11:45 am*, for
the participants who responded to our previous survey. The CGIS cafe on the
first floor has been designated as an eating area, and participants may
also use outdoor spaces for lunch. Please be present at K354 by 12:10 pm
for the presentations.)
*Zoom link*:
https://harvard.zoom.us/j/97004196610?pwd=eGFydkF5RDRjUlk5RVcyTjV6OStUQT09
(For the participants who cannot join the session physically.)
*Schedule of the workshop*:
https://projects.iq.harvard.edu/applied.stats.workshop-gov3009
Looking forward to seeing you all on Wednesday!
Best,
Sooahn