36 citations · 53 across the 8 of their papers we have counts for
12 papers · 1 filter
Debiased inference for proximal dose-response function
Daeyoung Ham, Sihan Wu, Yifan Cui
In this paper, we study nonparametric inference for the causal dose-response curve of a continuous-treatment under unmeasured confounding by leveraging treatment- and outcome-induc…
Proximal Mediation Analysis with Hidden Recanting Witnesses
Sihan Wu, Yang Bai, Yifan Cui
Mediation analysis is essential for decomposing the causal effect of a treatment into direct and indirect pathways. However, many practical settings rely on the stringent assumptio…
Demystifying Inferential Models: A Fiducial Perspective
Yifan Cui, Jan Hannig
Inferential models have recently gained in popularity for valid uncertainty quantification. In this paper, we investigate inferential models by exploring relationships between infe…
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…
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox
Yifan Cui
Unmeasured confounding is a threat to causal inference and gives rise to biased estimates. In this article, we consider the problem of individualized decision-making under partial…
Confidence Distribution and Distribution Estimation for Modern Statistical Inference
Yifan Cui, Min-ge Xie
This paper introduces to readers the new concept and methodology of confidence distribution and the modern-day distributional inference in statistics. This discussion should be of…