36 citations · 139 across the 27 of their papers we have counts for
27 papers
Debiased inference for proximal dose-response function
Daeyoung Ham, Sihan Wu, Yifan Cui
We study nonparametric inference for a continuous-treatment causal dose-response curve and its first derivative under unmeasured confounding, using treatment- and outcome-inducing…
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…
Deep Optimal Individualized Treatment Rules for Bivariate Survival Outcomes via Adaptive Prediction-Powered Learning
Kun Ren, Yifan Cui, Wen Su
In randomized trials involving multiple treatments, bivariate survival outcomes present significant analytical challenges for making decisions. This paper addresses the problem of…
Proximal Path-Specific Inference
Yang Bai, Sihan Wu, Baoluo Sun +1
Causal mediation analysis has been extended to estimate path-specific effects with multiple intermediate variables, isolating treatment effects through a mediator of interest while…
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup, Yifan Cui
Efficiently and flexibly estimating treatment effect heterogeneity is an important task in a wide variety of settings ranging from medicine to marketing, and there are a considerab…
A hidden Markov modeling approach combining objective measure of activity and subjective measure of self-reported sleep to estimate the sleep-wake cycle
Semhar B. Ogbagaber, Yifan Cui, Kaigang Li +2
Characterizing the sleep-wake cycle in adolescents is an important prerequisite to better understand the association of abnormal sleep patterns with subsequent clinical and behavio…