36 citations · 56 across the 21 of their papers we have counts for
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stat.ME2021★ 6 cited
Proximal Causal Inference for Complex Longitudinal Studies
Andrew Ying, Wang Miao, Xu Shi +1
A standard assumption for causal inference about the joint effects of time-varying treatment is that one has measured sufficient covariates to ensure that within covariate strata,…
stat.ML2021★ 2 cited
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
AmirEmad Ghassami, Andrew Ying, Ilya Shpitser +1
Robins et al. (2008) introduced a class of influence functions (IFs) which could be used to obtain doubly robust moment functions for the corresponding parameters. However, that cl…
stat.ME2021
A New Causal Approach to Account for Treatment Switching in Randomized Experiments under a Structural Cumulative Survival Model
Andrew Ying, Eric J. Tchetgen Tchetgen
Treatment switching in a randomized controlled trial is said to occur when a patient randomized to one treatment arm switches to another treatment arm during follow-up. This can oc…