36 citations · 56 across the 21 of their papers we have counts for
11 papers · 1 filter
An Instrumental Variable Approach to Account for Informative Treatment Switching in Real-world Evidence
Yang Liu, Andrew Ying, Zongqi Xia +1
Reproducible and generalizable assessment of treatment decisions requires principled handling of subsequent treatment switching that may inform expected outcomes and shift across c…
Efficient Inference for Incremental Causal Effects of Time to Treatment
Zhichen Zhao, Andrew Ying, Ronghui Xu
We consider continuous time to treatment initiation. This can commonly occur in preventive medicine, such as disease screening and vaccination; it can also occur with non-fatal hea…
Proximal Survival Analysis to Handle Dependent Right Censoring
Andrew Ying
Many epidemiological and clinical studies aim at analyzing a time-to-event endpoint. A common complication is right censoring. In some cases, it arises because subjects are still s…
Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
Yuyao Wang, Andrew Ying, Ronghui Xu
In prevalent cohort studies with follow-up, the time-to-event outcome is subject to left truncation leading to selection bias. For estimation of the distribution of time-to-event,…
Causal Identification for Complex Functional Longitudinal Studies
Andrew Ying
Real-time monitoring in modern medical research introduces functional longitudinal data, characterized by continuous-time measurements of outcomes, treatments, and confounders. Thi…
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 Robust Instrumental Variable Method Accounting for Treatment Switching in Open-Label Randomized Controlled Trials
Andrew Ying
In a randomized controlled trial, treatment switching (also called contamination or crossover) occurs when a patient initially assigned to one treatment arm changes to another arm…
Marginal Structural Illness-Death Models for Semi-Competing Risks Data
Yiran Zhang, Andrew Ying, Steve Edland +2
The three state illness death model has been established as a general approach for regression analysis of semi competing risks data. For observational data the marginal structural…
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,…
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…