:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Kaitlyn, Ocampo, Alex, Schiffman, Courtney, Friesenhahn, Michael, Rabe, Christina, Rosenblum, Michael
Format:	Preprint
Publié:	2026
Sujets:	Methodology
Accès en ligne:	https://arxiv.org/abs/2605.06655
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Automatic Variance Adjustment for Small Area Estimation
par: Wakefield, Jon, et autres
Publié: (2026)

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
par: Wang, Xinyi, et autres
Publié: (2025)

Covariate Adjustment for the Win Odds: Application to Cardiovascular Outcomes Trials
par: Scheidegger, Cyrill, et autres
Publié: (2025)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
par: Sun, Jiren, et autres
Publié: (2024)

Covariate Adjustment in Stratified Experiments
par: Cytrynbaum, Max
Publié: (2023)

Data-Adaptive and Model-Robust Covariate Adjustment for Time-to-Event Outcomes in Stratified Randomized Trials
par: Kim, Raphael C., et autres
Publié: (2026)

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test
par: Lou, Zhilan, et autres
Publié: (2026)

Robust Covariate Adjustment in Multi-Center Randomized Trials
par: Alene, Muluneh, et autres
Publié: (2025)

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
par: Heng, Siyu, et autres
Publié: (2023)

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
par: Zhao, Christina, et autres
Publié: (2024)

Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
par: Ojha, Abhishek, et autres
Publié: (2024)

Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
par: Jiang, Liang, et autres
Publié: (2023)

COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials
par: Liu, Yi, et autres
Publié: (2025)

A General Form of Covariate Adjustment in Randomized Clinical Trials
par: Bannick, Marlena S., et autres
Publié: (2023)

Targeted Learning Estimation of Sampling Variance for Improved Inference
par: Ji, Yunwen, et autres
Publié: (2025)

Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
par: Lee, JoonHo, et autres
Publié: (2023)

Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
par: Mikhaeil, Jonas M., et autres
Publié: (2024)

An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data
par: Williamson, Brian D, et autres
Publié: (2023)

Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
par: Zhang, Wenhao, et autres
Publié: (2026)

A Connection Between Covariate Adjustment and Stratified Randomization in Randomized Clinical Trials
par: Zhang, Zhiwei
Publié: (2024)

A Unified Approach to Covariate Adjustment for Survival Endpoints in Randomized Clinical Trials
par: Zhang, Zhiwei, et autres
Publié: (2025)

The RobinCar Family: R Tools for Robust Covariate Adjustment in Randomized Clinical Trials
par: Bannick, Marlena, et autres
Publié: (2026)

Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice
par: Junior, Antônio Carlos Herling Ribeiro, et autres
Publié: (2025)

Anytime-Valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power
par: Molitor, Daniel, et autres
Publié: (2025)

Studentising Kendall's Tau: U-Statistic Estimators and Bias Correction for a Generalised Rank Variance-Covariance framework
par: Hurley, Landon
Publié: (2023)

Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
par: Qiu, Hongxiang, et autres
Publié: (2025)

On GEE for Mean-Variance-Correlation Models: Variance Estimation and Model Selection
par: Xu, Zhenyu, et autres
Publié: (2024)

Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
par: Guha, Sharmistha, et autres
Publié: (2024)

Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
par: Zhao, Sihui, et autres
Publié: (2024)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
par: Wadekar, Adway S., et autres
Publié: (2023)

Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
par: Vanderbeek, Alyssa M., et autres
Publié: (2023)

The Power of Prognosis: Improving Covariate Balance Tests with Outcome Information
par: Bicalho, Clara, et autres
Publié: (2022)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
par: Yu, Mingyan, et autres
Publié: (2024)

Evaluating Variance Estimates with Relative Efficiency
par: Karhadkar, Kedar, et autres
Publié: (2025)

Multilevel Regression Modeling of Covariance Matrix Outcomes
par: Green, Michelle Murphy, et autres
Publié: (2026)

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
par: Pal, Samhita, et autres
Publié: (2026)

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
par: Prim, Shih-Ni, et autres
Publié: (2025)

Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects
par: Shoji, Takehiro, et autres
Publié: (2024)

Double Robust Variance Estimation with Parametric Working Models
par: Shook-Sa, Bonnie E., et autres
Publié: (2024)

Prognostic Covariate Adjustment for Logistic Regression in Randomized Controlled Trials
par: Li, Yunfan, et autres
Publié: (2024)