36 citations · 37 across the 3 of their papers we have counts for
7 papers
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Andrew Ying, Yifan Cui, Eric J. Tchetgen Tchetgen
Contrasting marginal counterfactual survival curves across treatment arms is an effective and popular approach for inferring the causal effect of an intervention on a right-censore…
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…
An Introduction to Proximal Causal Learning
Eric J Tchetgen Tchetgen, Andrew Ying, Yifan Cui +2
A standard assumption for causal inference from observational data is that one has measured a sufficiently rich set of covariates to ensure that within covariate strata, subjects a…
On the Asymptotic Distribution of the Scan Statistic for Empirical Distributions
Andrew Ying, Wen-Xin Zhou
We investigate the asymptotic behavior of several variants of the scan statistic applied to empirical distributions, which can be applied to detect the presence of an anomalous int…
A Scan Procedure for Multiple Testing
Shiyun Chen, Andrew Ying, Ery Arias-Castro
In a multiple testing framework, we propose a method that identifies the interval with the highest estimated false discovery rate of P-values and rejects the corresponding null hyp…
Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, Ronghui Xu, James Murphy
Instrumental variable is an essential tool for addressing unmeasured confounding in observational studies. Two stage predictor substitution (2SPS) estimator and two stage residual…