no code implementations • 31 Jan 2024 • Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan Rossi, Ritwik Sinha, Edward H. Kennedy
Incorporating surrogates, which are fully observed post-treatment variables related to the primary outcome, can improve estimation in this case.
no code implementations • 22 Jan 2024 • Liyang Sun, Eli Ben-Michael, Avi Feller
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data.
no code implementations • 27 Nov 2023 • Liyang Sun, Eli Ben-Michael, Avi Feller
When there are multiple outcome series of interest, Synthetic Control analyses typically proceed by estimating separate weights for each outcome.
no code implementations • 27 Apr 2023 • David Bruns-Smith, Oliver Dukes, Avi Feller, Elizabeth L. Ogburn
These popular doubly robust or double machine learning estimators combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and inverting the propensity score.
no code implementations • 17 Mar 2022 • David Bruns-Smith, Avi Feller
We study balancing weight estimators, which reweight outcomes from a source population to estimate missing outcomes in a target population.