Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Barnatchez, Keith, Nethery, Rachel, Shepherd, Bryan E., Parmigiani, Giovanni, Josey, Kevin P. |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
par: Barnatchez, Keith, et autres
Publié: (2025)
par: Barnatchez, Keith, et autres
Publié: (2025)
Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
par: Barnatchez, Keith, et autres
Publié: (2026)
par: Barnatchez, Keith, et autres
Publié: (2026)
Causal Estimation of Exposure Shifts with Neural Networks
par: Tec, Mauricio, et autres
Publié: (2023)
par: Tec, Mauricio, et autres
Publié: (2023)
Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference
par: Chen, Kevin L., et autres
Publié: (2023)
par: Chen, Kevin L., et autres
Publié: (2023)
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
par: Considine, Ellen M., et autres
Publié: (2025)
par: Considine, Ellen M., et autres
Publié: (2025)
Addressing Confounding and Continuous Exposure Measurement Error Using Corrected Score Functions
par: Richardson, Brian D., et autres
Publié: (2024)
par: Richardson, Brian D., et autres
Publié: (2024)
Causal Effect Identification and Inference with Endogenous Exposures and a Light-tailed Error
par: Wang, Ruoyu, et autres
Publié: (2024)
par: Wang, Ruoyu, et autres
Publié: (2024)
Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework
par: Yang, Yuqiu, et autres
Publié: (2025)
par: Yang, Yuqiu, et autres
Publié: (2025)
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
par: Zorzetto, Dafne, et autres
Publié: (2025)
par: Zorzetto, Dafne, et autres
Publié: (2025)
Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
par: Tang, Wenze, et autres
Publié: (2023)
par: Tang, Wenze, et autres
Publié: (2023)
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
par: Landy, Jenna M., et autres
Publié: (2024)
par: Landy, Jenna M., et autres
Publié: (2024)
Sample Size and Bias Approximations For Continuous Exposures Measured with Error
par: Kim, Honghyok
Publié: (2024)
par: Kim, Honghyok
Publié: (2024)
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
par: Ge, Lin, et autres
Publié: (2024)
par: Ge, Lin, et autres
Publié: (2024)
Causal exposure-response curve estimation with surrogate confounders: a study of air pollution and children's health in Medicaid claims data
par: Lee, Jenny J., et autres
Publié: (2023)
par: Lee, Jenny J., et autres
Publié: (2023)
Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
par: Kim, Honghyok
Publié: (2024)
par: Kim, Honghyok
Publié: (2024)
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
par: Vega, Sofia L., et autres
Publié: (2025)
par: Vega, Sofia L., et autres
Publié: (2025)
Simple Estimation of Semiparametric Models with Measurement Errors
par: Evdokimov, Kirill S., et autres
Publié: (2023)
par: Evdokimov, Kirill S., et autres
Publié: (2023)
Causal Inference for Latent Outcomes Learned with Factor Models
par: Landy, Jenna M., et autres
Publié: (2025)
par: Landy, Jenna M., et autres
Publié: (2025)
Estimating Average Causal Effects with Incomplete Exposure and Confounders
par: Wen, Lan, et autres
Publié: (2025)
par: Wen, Lan, et autres
Publié: (2025)
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
par: Shyr, Cathy, et autres
Publié: (2023)
par: Shyr, Cathy, et autres
Publié: (2023)
Causal Imitation Learning Under Measurement Error and Distribution Shift
par: Bo, Shi, et autres
Publié: (2026)
par: Bo, Shi, et autres
Publié: (2026)
Measurement Error-Robust Causal Inference via Constructed Instrumental Variables
par: Miles, Caleb H., et autres
Publié: (2024)
par: Miles, Caleb H., et autres
Publié: (2024)
Prediction in Measurement Error Models
par: Jiang, Fei, et autres
Publié: (2024)
par: Jiang, Fei, et autres
Publié: (2024)
Fair Policy Learning under Bipartite Network Interference: Learning Fair and Cost-Effective Environmental Policies
par: Kim, Raphael C., et autres
Publié: (2026)
par: Kim, Raphael C., et autres
Publié: (2026)
Multiply Robust Difference-in-Differences Estimation of Causal Effect Curves for Continuous Exposures
par: Hettinger, Gary, et autres
Publié: (2024)
par: Hettinger, Gary, et autres
Publié: (2024)
High-Dimensional Data with Measurement Error
par: Tesso, Herman, et autres
Publié: (2026)
par: Tesso, Herman, et autres
Publié: (2026)
Variance-Aware Estimation and Inference for Michaelis--Menten Models with Heteroscedastic Errors and Clustered Measurements
par: Kim, Mijeong, et autres
Publié: (2026)
par: Kim, Mijeong, et autres
Publié: (2026)
bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
par: Landy, Jenna M., et autres
Publié: (2025)
par: Landy, Jenna M., et autres
Publié: (2025)
Poisson process factorization for mutational signature analysis with genomic covariates
par: Zito, Alessandro, et autres
Publié: (2025)
par: Zito, Alessandro, et autres
Publié: (2025)
Causal Inference with Missing Exposures and Missing Outcomes
par: Landsiedel, Kirsten E., et autres
Publié: (2025)
par: Landsiedel, Kirsten E., et autres
Publié: (2025)
Causal Inference on Missing Exposure via Robust Estimation
par: Shi, Yuliang, et autres
Publié: (2024)
par: Shi, Yuliang, et autres
Publié: (2024)
Causal Secondary Analysis of Linked Data in the Presence of Mismatch Error
par: Slawski, Martin
Publié: (2025)
par: Slawski, Martin
Publié: (2025)
Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
par: Chen, Kevin L., et autres
Publié: (2024)
par: Chen, Kevin L., et autres
Publié: (2024)
Variational Bayes Inference for Spatial Error Models with Missing Data
par: Wijayawardhana, Anjana, et autres
Publié: (2024)
par: Wijayawardhana, Anjana, et autres
Publié: (2024)
Efficient Targeted Maximum Likelihood Estimation of Average Treatment Effects under Structured Outcome Models with Unknown Error Distributions
par: Kim, Mijeong
Publié: (2026)
par: Kim, Mijeong
Publié: (2026)
Cross-validation Approaches for Multi-study Predictions
par: Ren, Boyu, et autres
Publié: (2020)
par: Ren, Boyu, et autres
Publié: (2020)
Estimation of MIDAS Regressions with Errors-in-the-Variables
par: Kaur, Sukhbir, et autres
Publié: (2026)
par: Kaur, Sukhbir, et autres
Publié: (2026)
Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
par: Lang, Iris, et autres
Publié: (2025)
par: Lang, Iris, et autres
Publié: (2025)
Empirical Error Estimates for Graph Sparsification
par: Wang, Siyao, et autres
Publié: (2025)
par: Wang, Siyao, et autres
Publié: (2025)
Towards Optimal Environmental Policies: Policy Learning under Arbitrary Bipartite Network Interference
par: Kim, Raphael C., et autres
Publié: (2024)
par: Kim, Raphael C., et autres
Publié: (2024)
Documents similaires
-
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
par: Barnatchez, Keith, et autres
Publié: (2025) -
Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
par: Barnatchez, Keith, et autres
Publié: (2026) -
Causal Estimation of Exposure Shifts with Neural Networks
par: Tec, Mauricio, et autres
Publié: (2023) -
Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference
par: Chen, Kevin L., et autres
Publié: (2023) -
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
par: Considine, Ellen M., et autres
Publié: (2025)