3 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
Qiushi Bu, Wen Su, Xinyu Zhang +2
We study causal inference for time-to-event outcomes under right censoring in the presence of unmeasured confounding. Focusing on structural accelerated failure time models, we dev…
Flexible semiparametric modeling with application to Causal Inference
Kun Ren, Wen Su, Li Liu +2
This paper proposes a flexible new framework for constructing Neyman-orthogonal scores in semiparametric models involving infinite-dimensional nuisance parameters. While locally es…
Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
Qiushi Bu, Wen Su, Xingqiu Zhao +1
We propose a semiparametric framework for causal inference with right-censored survival outcomes and many weak invalid instruments, motivated by Mendelian randomization in biobank…
Deep Nonparametric Inference for Conditional Hazard Function
Wen Su, Kin-Yat Liu, Guosheng Yin +2
We propose a novel deep learning approach to nonparametric statistical inference for the conditional hazard function of survival time with right-censored data. We use a deep neural…
Efficient Estimation for Functional Accelerated Failure Time Model
Changyu Liu, Wen Su, Kin-Yat Liu +2
We propose a functional accelerated failure time model to characterize effects of both functional and scalar covariates on the time to event of interest, and provide regularity con…