Cover Image

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pal, Samhita, Huling, Jared D., Asiaee, Amir
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023)

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Calibrated Alignment
by: Asiaee, Amir, et al.
Published: (2026)

Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
by: Asiaee, Amir, et al.
Published: (2026)

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
by: Asiaee, Amir, et al.
Published: (2026)

Assessing Estimate of CATE from Observational Data via an RCT Study
by: Cui, Bosen, et al.
Published: (2026)

Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
by: Asiaee, Amir, et al.
Published: (2026)

Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
by: Barnard, Martha, et al.
Published: (2025)

Estimating causal effects of functional treatments with modified functional treatment policies
by: Jiang, Ziren, et al.
Published: (2026)

Network-aware IV Regression for Causal Node Discovery and Estimation
by: Pal, Samhita, et al.
Published: (2026)

DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
by: Pal, Samhita, et al.
Published: (2025)

Data adaptive covariate balancing for causal effect estimation for high dimensional data
by: De, Simion, et al.
Published: (2025)

Modified treatment policy effect estimation with weighted energy distance
by: Jiang, Ziren, et al.
Published: (2023)

Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction
by: Wang, Wei, et al.
Published: (2025)

Estimation of heterogeneous principal effects under principal ignorability
by: Zhang, Rui, et al.
Published: (2026)

Counterfactual fairness for small subgroups
by: Wastvedt, Solvejg, et al.
Published: (2023)

A Unified Framework for Causal Estimand Selection
by: Barnard, Martha, et al.
Published: (2024)

Coverage of Credible Sets for Regression under Variable Selection
by: Pal, Samhita, et al.
Published: (2024)

Bayesian High-dimensional Grouped-regression using Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)

Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
by: Kern, Christoph, et al.
Published: (2024)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)

Discovering Candidate Genes Regulated by GWAS Signals in Cis and Trans
by: Pal, Samhita, et al.
Published: (2024)

Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies
by: Jiang, Ziren, et al.
Published: (2025)

Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)

Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson's Disease
by: Pal, Samhita, et al.
Published: (2025)

Transportability of Principal Causal Effects
by: Clark, Justin M., et al.
Published: (2024)

CATE Estimation With Potential Outcome Imputation From Local Regression
by: Aloui, Ahmed, et al.
Published: (2023)

Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)

Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)

Improving Variance Estimation for Covariate Adjustment with Binary Outcomes
by: Lee, Kaitlyn, et al.
Published: (2026)

Heterogeneous readmission prediction with hierarchical effect decomposition and regularization
by: Jiang, Ziren, et al.
Published: (2026)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Sun, Jiren, et al.
Published: (2024)

Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)

Causal Discovery with Mixed Latent Confounding via Precision Decomposition
by: Asiaee, Amir, et al.
Published: (2025)

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
by: Svensson, David, et al.
Published: (2025)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)

RCT Rejection Sampling for Causal Estimation Evaluation
by: Keith, Katherine A., et al.
Published: (2023)

Improving Transportability of Regression Calibration Under the Main/External Validation Study Design
by: Li, Zexiang, et al.
Published: (2025)

Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
by: Li, Yiou, et al.
Published: (2020)

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
by: Tang, Wenze, et al.
Published: (2022)

Accounting for Mismatch Error in Small Area Estimation with Linked Data
by: Fabrizi, Enrico, et al.
Published: (2024)