184 citations · 449 across the 32 of their papers we have counts for
36 papers
Surrogate-powered Causal Inference with Censored Outcomes
Yaroslav Mukhin, Tereza Oprea, Arielle Anderer +2
Clinical trials with survival endpoints lose information when participants are censored before death is observed. We develop target-preserving estimators that use posttreatment dis…
Doubly Robust Estimation under Possibly Misspecified Marginal Structural Cox Model
Jiyu Luo, Denise Rava, Jelena Bradic +1
In this paper we address the challenges posed by non-proportional hazards and informative censoring, offering a path toward more meaningful causal inference conclusions. We start f…
Semiparametrically Efficient Score for the Survival Odds Ratio
Denise Rava, Jelena Bradic, Ronghui Xu
We consider a general proportional odds model for survival data under binary treatment, where the functional form of the covariates is left unspecified. We derive the efficient sco…
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
Yuqian Zhang, Abhishek Chakrabortty, Jelena Bradic
In modern large-scale observational studies, data collection constraints often result in partially labeled datasets, posing challenges for reliable causal inference, especially due…
Dynamic treatment effects: high-dimensional inference under model misspecification
Yuqian Zhang, Weijie Ji, Jelena Bradic
Estimating dynamic treatment effects is crucial across various disciplines, providing insights into the time-dependent causal impact of interventions. However, this estimation pose…
High-dimensional Inference for Dynamic Treatment Effects
Jelena Bradic, Weijie Ji, Yuqian Zhang
Estimating dynamic treatment effects is a crucial endeavor in causal inference, particularly when confronted with high-dimensional confounders. Doubly robust (DR) approaches have e…