A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
Fuente:
arXiv
Saved in:
| Main Authors: | Benz, Luke, Mukherjee, Rajarshi, Wang, Rui, Arterburn, David, Fischer, Heidi, Lee, Catherine, Shortreed, Susan M., Levis, Alexander W., Haneuse, Sebastien |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
Causal Quantile Treatment Effects with missing data by double-sampling
by: Sun, Shuo, et al.
Published: (2023)
by: Sun, Shuo, et al.
Published: (2023)
Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
by: Benz, Luke, et al.
Published: (2024)
by: Benz, Luke, et al.
Published: (2024)
Comparing Causal Inference Methods for Point Exposures with Missing Confounders: A Simulation Study
by: Benz, Luke, et al.
Published: (2024)
by: Benz, Luke, et al.
Published: (2024)
Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
by: Lee, Jungwun, et al.
Published: (2025)
by: Lee, Jungwun, et al.
Published: (2025)
Robust causal inference for point exposures with missing confounders
by: Alexander W. Levis, et al.
Published: (2024)
by: Alexander W. Levis, et al.
Published: (2024)
Penalized Estimation of Frailty-Based Illness-Death Models for Semi-Competing Risks
by: Reeder, Harrison T., et al.
Published: (2022)
by: Reeder, Harrison T., et al.
Published: (2022)
Characterizing quantile-varying covariate effects under the accelerated failure time model
by: Reeder, Harrison T., et al.
Published: (2023)
by: Reeder, Harrison T., et al.
Published: (2023)
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data
by: Reeder, Harrison T., et al.
Published: (2024)
by: Reeder, Harrison T., et al.
Published: (2024)
Local Effects of Continuous Instruments without Positivity
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
by: Zeng, Zhenghao, et al.
Published: (2025)
by: Zeng, Zhenghao, et al.
Published: (2025)
Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., et al.
Published: (2024)
Time-Varying Causal Survival Learning
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Bayesian Data Sketching for Varying Coefficient Regression Models
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials
by: Qian, Tianchen
Published: (2025)
by: Qian, Tianchen
Published: (2025)
A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials
by: Tai, Yi-Cheng, et al.
Published: (2026)
by: Tai, Yi-Cheng, et al.
Published: (2026)
A Doubly Robust Framework for Addressing Outcome-Dependent Selection Bias in Multi-Cohort EHR Studies
by: Kundu, Ritoban, et al.
Published: (2024)
by: Kundu, Ritoban, et al.
Published: (2024)
Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins
by: Levis, Alex W., et al.
Published: (2025)
by: Levis, Alex W., et al.
Published: (2025)
History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
by: Usami, Satoshi
Published: (2020)
by: Usami, Satoshi
Published: (2020)
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
by: Oprescu, Miruna, et al.
Published: (2025)
by: Oprescu, Miruna, et al.
Published: (2025)
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)
by: McGrath, Sean, et al.
Published: (2022)
Adaptive Orthogonalization for Stable Estimation of the Effects of Time-Varying Treatments
by: Li, Yige, et al.
Published: (2025)
by: Li, Yige, et al.
Published: (2025)
Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)
by: Wu, Shenghao, et al.
Published: (2023)
Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
by: Voinot, Charlotte, et al.
Published: (2025)
by: Voinot, Charlotte, et al.
Published: (2025)
A Randomization-Based Method for Evaluating Time-Varying Treatment Effects
by: Lee, Sangjin, et al.
Published: (2024)
by: Lee, Sangjin, et al.
Published: (2024)
Identification strategies for combining an experimental study with external data
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)
by: Yang, Cheng-Han, et al.
Published: (2026)
Incremental Causal Effect for Time to Treatment Initialization
by: Ying, Andrew, et al.
Published: (2024)
by: Ying, Andrew, et al.
Published: (2024)
Constructing external comparator groups via transportability in mean or in effect measure
by: Ung, Lawson, et al.
Published: (2026)
by: Ung, Lawson, et al.
Published: (2026)
Efficient Inference for Incremental Causal Effects of Time to Treatment
by: Zhao, Zhichen, et al.
Published: (2026)
by: Zhao, Zhichen, et al.
Published: (2026)
Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)
by: Chen, Xingyu, et al.
Published: (2024)
Efficient estimation of subgroup treatment effects using multi-source data
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels
by: Coube-Sisqueille, Sébastien, et al.
Published: (2022)
by: Coube-Sisqueille, Sébastien, et al.
Published: (2022)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, et al.
Published: (2024)
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
by: Zheng, Jiajing, et al.
Published: (2021)
by: Zheng, Jiajing, et al.
Published: (2021)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Statistical and Causal Robustness for Causal Null Hypothesis Tests
by: Yang, Junhui, et al.
Published: (2023)
by: Yang, Junhui, et al.
Published: (2023)
The Case for Time in Causal DAGs
by: Reisach, Alexander G., et al.
Published: (2025)
by: Reisach, Alexander G., et al.
Published: (2025)
Similar Items
-
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025) -
Causal Quantile Treatment Effects with missing data by double-sampling
by: Sun, Shuo, et al.
Published: (2023) -
Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
by: Benz, Luke, et al.
Published: (2024) -
Comparing Causal Inference Methods for Point Exposures with Missing Confounders: A Simulation Study
by: Benz, Luke, et al.
Published: (2024) -
Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
by: Lee, Jungwun, et al.
Published: (2025)