36 citations · 44 across the 14 of their papers we have counts for
6 papers · 1 filter
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…