Paper “Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies (Lili Wu and Shu Yang)” has been accepted for presentation at the 1st Conference on Causal Learning and Reasoning (CLeaR 2022, https://www.cclear.cc/2022).
The paper on “Multiply robust matching estimators of average and quantile treatment effects” is accepted in Scandinavian Journal of Statistics.
Y. Zhang*, S. Yang, W. Ye, Douglas E. Faries, I. Lipkovich, Z. Kadziola (2021) “Best practices of double score matching for estimating causal effects” is accepted at Statistics in Medicine. Congratulations, Yunshu!
https://nestat.org/ibmawards/ibm2021/ Lili Wu won the IBM Student Research Award at the 34th New England Statistics Symposium for her paper “Estimating spatially varying health effects of wildland fire smoke using mobile health data”, jointly with Shu Yang, Brian Reich and Ana… Continue Reading