Saved in:
| Main Authors: | Levis, Alex W., Kennedy, Edward H. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.13025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Causal Quantile Treatment Effects with missing data by double-sampling
by: Sun, Shuo, et al.
Published: (2023)
by: Sun, Shuo, et al.
Published: (2023)
Intervention effects based on potential benefit
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., 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)
Stochastic interventions, sensitivity analysis, and optimal transport
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., et al.
Published: (2024)
Causal K-Means Clustering
by: Kim, Kwangho, et al.
Published: (2024)
by: Kim, Kwangho, et al.
Published: (2024)
Imputation of missing values in multi-view data
by: van Loon, Wouter, et al.
Published: (2022)
by: van Loon, Wouter, et al.
Published: (2022)
Causal effects based on distributional distances
by: Kim, Kwangho, et al.
Published: (2018)
by: Kim, Kwangho, et al.
Published: (2018)
Estimating and evaluating counterfactual prediction models
by: Boyer, Christopher B., et al.
Published: (2023)
by: Boyer, Christopher B., et al.
Published: (2023)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
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)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
Hierarchical and Density-based Causal Clustering
by: Kim, Kwangho, et al.
Published: (2024)
by: Kim, Kwangho, et al.
Published: (2024)
Prediction under interventions: evaluation of counterfactual performance using longitudinal observational data
by: Keogh, Ruth H., et al.
Published: (2023)
by: Keogh, Ruth H., et al.
Published: (2023)
Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
by: Loewinger, Gabriel, et al.
Published: (2025)
by: Loewinger, Gabriel, et al.
Published: (2025)
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference
by: Cinelli, Carlos, et al.
Published: (2025)
by: Cinelli, Carlos, et al.
Published: (2025)
Calibrated sensitivity models
by: McClean, Alec, et al.
Published: (2024)
by: McClean, Alec, et al.
Published: (2024)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Fast convergence rates for dose-response estimation
by: Bonvini, Matteo, et al.
Published: (2022)
by: Bonvini, Matteo, et al.
Published: (2022)
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)
Accounting for missing data when modelling block maxima
by: Simpson, Emma S., et al.
Published: (2025)
by: Simpson, Emma S., et al.
Published: (2025)
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates
by: Bates, Stephen, et al.
Published: (2022)
by: Bates, Stephen, et al.
Published: (2022)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Counterfactual Density Estimation using Kernel Stein Discrepancies
by: Martinez-Taboada, Diego, et al.
Published: (2023)
by: Martinez-Taboada, Diego, et al.
Published: (2023)
Efficient estimation of subgroup treatment effects using multi-source data
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Sensitivity analysis for incremental effects, with application to a study of victimization & offending
by: Shen, Shuying, et al.
Published: (2026)
by: Shen, Shuying, et al.
Published: (2026)
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)
Multiple imputation of missing covariates when using the Fine-Gray model
by: Bonneville, Edouard F., et al.
Published: (2024)
by: Bonneville, Edouard F., et al.
Published: (2024)
Computationally and statistically efficient estimation of time-smoothed counterfactual curves
by: Susmann, Herbert P., et al.
Published: (2025)
by: Susmann, Herbert P., et al.
Published: (2025)
Boosting prediction with data missing not at random
by: Bian, Yuan, et al.
Published: (2025)
by: Bian, Yuan, et al.
Published: (2025)
Bayesian analysis of the causal reference-based model for missing data in clinical trials
by: Nansereko, Brendah, et al.
Published: (2025)
by: Nansereko, Brendah, et al.
Published: (2025)
Multivariate regression with missing response data for modelling regional DNA methylation QTLs
by: Alam, Shomoita, et al.
Published: (2025)
by: Alam, Shomoita, et al.
Published: (2025)
Functional conditional volatility modeling with missing data: inference and application to energy commodities
by: Djeniah, Abdelbasset, et al.
Published: (2023)
by: Djeniah, Abdelbasset, et al.
Published: (2023)
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)
A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, 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)
Bayesian analysis of the causal reference-based model for missing data in clinical trials, accommodating partially observed post-intercurrent event data
by: Nansereko, Brendah, et al.
Published: (2026)
by: Nansereko, Brendah, et al.
Published: (2026)
Local Effects of Continuous Instruments without Positivity
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
by: Nabi, Razieh, et al.
Published: (2025)
by: Nabi, Razieh, et al.
Published: (2025)
Similar Items
-
Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024) -
Causal Quantile Treatment Effects with missing data by double-sampling
by: Sun, Shuo, et al.
Published: (2023) -
Intervention effects based on potential benefit
by: Levis, Alexander W., et al.
Published: (2024) -
Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
by: Zeng, Zhenghao, et al.
Published: (2025) -
Stochastic interventions, sensitivity analysis, and optimal transport
by: Levis, Alexander W., et al.
Published: (2024)