6 citations · 6 across the 5 of their papers we have counts for
5 papers
History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
Yuyao Wang, Alexander W. Levis, Shu Yang +1
Existing conformal prediction methods for time-to-event outcomes leverage only baseline covariates, producing prediction intervals that are insufficiently informative to facilitate…
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
Yu Lu, Tianni Zhang, Yuyao Wang +1
Longitudinal associations may vary over time, yet allowing every regression effect to be dynamic can inflate estimation variance and obscure interpretable structure. We develop tim…
Proximal Survival Analysis for Dependent Left Truncation
Yuyao Wang, Andrew Ying, Ronghui Xu
In prevalent cohort studies with delayed entry, time-to-event outcomes are often subject to left truncation where only subjects that have not experienced the event at study entry a…
A Liberating Framework from Truncation and Censoring, with Application to Learning Treatment Effects
Yuyao Wang, Andrew Ying, Ronghui Xu
Time-to-event outcomes are often subject to left truncation and right censoring. While many survival analysis methods have been developed to handle truncation and censoring, majori…
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,…