Doubly robust average treatment effect estimation for survival data
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Byeonghee, Kang, Joonsung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Outlier-Resistant Heterogeneous Treatment Effect Estimation in HDLSS Settings via GAT--CVAE Framework
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022)
by: Xia, Junwen, et al.
Published: (2022)
Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Doubly robust identification of treatment effects from multiple environments
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
Multiply robust estimation for causal survival analysis with treatment noncompliance
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Augmented match weighted estimators for average treatment effects
by: Xu, Tanchumin, et al.
Published: (2023)
by: Xu, Tanchumin, et al.
Published: (2023)
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)
by: Lee, Byunghee, et al.
Published: (2025)
Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)
by: Liu, Xijia, et al.
Published: (2024)
Doubly robust pointwise confidence intervals for a monotonic continuous treatment effect curve
by: Doss, Charles R.
Published: (2025)
by: Doss, Charles R.
Published: (2025)
Doubly robust estimation and inference for a log-concave counterfactual density
by: Ham, Daeyoung, et al.
Published: (2024)
by: Ham, Daeyoung, et al.
Published: (2024)
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022)
by: Cheng, Chao, et al.
Published: (2022)
Efficient estimation of the target population average treatment effect from multi-source data
by: Su, Zehao, et al.
Published: (2024)
by: Su, Zehao, et al.
Published: (2024)
Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons
by: Campbell, Harlan, et al.
Published: (2025)
by: Campbell, Harlan, et al.
Published: (2025)
Doubly robust estimation of marginal cumulative incidence curves for competing risk analysis
by: van Hage, Patrick, et al.
Published: (2024)
by: van Hage, Patrick, et al.
Published: (2024)
Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
by: Zuo, Shuozhi, et al.
Published: (2026)
by: Zuo, Shuozhi, et al.
Published: (2026)
Efficient estimation of average treatment effects with unmeasured confounding and proxies
by: Ai, Chunrong, et al.
Published: (2025)
by: Ai, Chunrong, et al.
Published: (2025)
Doubly robust estimators of the restricted mean time in favor estimands in individual- and cluster-randomized trials
by: Fang, Xi, et al.
Published: (2026)
by: Fang, Xi, et al.
Published: (2026)
Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)
by: Tong, Jiaqi, et al.
Published: (2024)
A comparison of methods for estimating the average treatment effect on the treated for externally controlled trials
by: Wang, Huan, et al.
Published: (2024)
by: Wang, Huan, et al.
Published: (2024)
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
Randomization-based Z-estimation for evaluating average and individual treatment effects
by: Qu, Tianyi, et al.
Published: (2024)
by: Qu, Tianyi, et al.
Published: (2024)
Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner
by: Sun, Yuming, et al.
Published: (2026)
by: Sun, Yuming, et al.
Published: (2026)
Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Absolute average and median treatment effects as causal estimands on metric spaces
by: Shin, Ha-Young, et al.
Published: (2024)
by: Shin, Ha-Young, et al.
Published: (2024)
Treatment bootstrapping: A new approach to quantify uncertainty of average treatment effect estimates
by: Li, Jing
Published: (2023)
by: Li, Jing
Published: (2023)
Estimating average treatment effects when treatment data are absent in a target study
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Improving efficiency in transporting average treatment effects
by: Rudolph, Kara E., et al.
Published: (2023)
by: Rudolph, Kara E., et al.
Published: (2023)
Efficient collaborative learning of the average treatment effect
by: Li, Sijia, et al.
Published: (2024)
by: Li, Sijia, et al.
Published: (2024)
Doubly robust and computationally efficient high-dimensional variable selection
by: Chakraborty, Abhinav, et al.
Published: (2024)
by: Chakraborty, Abhinav, et al.
Published: (2024)
Doubly-robust inference and optimality in structure-agnostic models with smoothness
by: Bonvini, Matteo, et al.
Published: (2024)
by: Bonvini, Matteo, et al.
Published: (2024)
Doubly-robust and heteroscedasticity-aware sample trimming for causal inference
by: Khan, Samir, et al.
Published: (2022)
by: Khan, Samir, et al.
Published: (2022)
Estimation and inference of average treatment effects under heterogeneous additive treatment effect model
by: Lu, Xin, et al.
Published: (2024)
by: Lu, Xin, et al.
Published: (2024)
Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)
by: Sandqvist, Oliver Lunding
Published: (2024)
Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
by: Du, Jiacong, et al.
Published: (2024)
by: Du, Jiacong, et al.
Published: (2024)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Differential recall bias in estimating treatment effects in observational studies
by: Bong, Suhwan, et al.
Published: (2023)
by: Bong, Suhwan, et al.
Published: (2023)
Similar Items
-
Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
by: Lee, Byeonghee, et al.
Published: (2025) -
Outlier-Resistant Heterogeneous Treatment Effect Estimation in HDLSS Settings via GAT--CVAE Framework
by: Lee, Byeonghee, et al.
Published: (2025) -
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025) -
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025) -
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022)