Cover Image

Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Asiaee, Amir, Pal, Samhita, Huling, Jared D.
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 RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
by: Pal, Samhita, et al.
Published: (2026)

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

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

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

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

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

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

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)

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

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

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)

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

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

The Effect of Omitted Variables on the Sign of Regression Coefficients
by: Masten, Matthew A., et al.
Published: (2022)

Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026)

Assessing Omitted Variable Bias when the Controls are Endogenous
by: Diegert, Paul, et al.
Published: (2022)

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

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

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

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

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

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)

Omitted Variable Bias in Language Models Under Distribution Shift
by: Lin, Victoria, et al.
Published: (2026)

Improve Sensitivity Analysis Synthesizing Randomized Clinical Trials With Limited Overlap
by: Jiang, Kuan, et al.
Published: (2024)

Long Story Short: Omitted Variable Bias in Causal Machine Learning
by: Chernozhukov, Victor, et al.
Published: (2021)

SensIAT: An R Package for Conducting Sensitivity Analysis of Randomized Trials with Irregular Assessment Times
by: Redd, Andrew, et al.
Published: (2025)

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

COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials
by: Liu, Yi, et al.
Published: (2025)

Omitted covariates bias and finite mixtures of regression models for longitudinal responses
by: Alfo', Marco, et al.
Published: (2026)

Path Analysis for Binary Random Variables
by: Raggi, Martina, et al.
Published: (2021)

A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025)

Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times
by: Smith, Bonnie B., et al.
Published: (2022)

Novel Methods for the Analysis of Stepped Wedge Cluster Randomized Trials
by: Kennedy-Shaffer, Lee, et al.
Published: (2019)

A General Form of Covariate Adjustment in Randomized Clinical Trials
by: Bannick, Marlena S., et al.
Published: (2023)

A Non-Parametric Sensitivity Analysis for Bounding Bias in Hybrid Control Trials
by: Gordon, Alissa, et al.
Published: (2025)

Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes
by: Wang, Zi, et al.
Published: (2025)

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