:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Yi, Kun, Xia, Lucy
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	https://arxiv.org/abs/2512.09430
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Covariate Selection for Optimizing Balance with an Innovative Adaptive Randomization Approach
por: Guo, Ziqing, et al.
Publicado: (2024)

Seamless Phase I--II Cancer Clinical Trials Using Kernel-Based Covariate Similarity
por: Makino, Kana, et al.
Publicado: (2025)

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

Inference for Two-stage Experiments under Covariate-Adaptive Randomization
por: Liu, Jizhou
Publicado: (2023)

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

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

Robust Covariate Adjustment in Multi-Center Randomized Trials
por: Alene, Muluneh, et al.
Publicado: (2025)

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

The RobinCar Family: R Tools for Robust Covariate Adjustment in Randomized Clinical Trials
por: Bannick, Marlena, et al.
Publicado: (2026)

Covariate Ordered Systematic Sampling as an Improvement to Randomized Controlled Trials
por: Jobson, Deddy, et al.
Publicado: (2024)

A Seamless Phase II/III Design with Dose Optimization for Oncology Drug Development
por: Li, Yuhan, et al.
Publicado: (2024)

A Unified Approach to Covariate Adjustment for Survival Endpoints in Randomized Clinical Trials
por: Zhang, Zhiwei, et al.
Publicado: (2025)

Causal Inference in Randomized Trials with Partial Clustering
por: Nugent, Joshua, et al.
Publicado: (2024)

Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
por: Jiang, Liang, et al.
Publicado: (2023)

Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
por: Ghosh, Aditya, et al.
Publicado: (2025)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
por: Li, Xiudi, et al.
Publicado: (2025)

Inference in Cluster Randomized Trials with Matched Pairs
por: Bai, Yuehao, et al.
Publicado: (2022)

Selective Randomization Inference for Adaptive Experiments
por: Freidling, Tobias, et al.
Publicado: (2024)

Optimal Correlation for Bernoulli Trials with Covariates
por: Morrison, Tim, et al.
Publicado: (2024)

Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
por: Lee, Kenneth M., et al.
Publicado: (2026)

Prognostic Covariate Adjustment for Logistic Regression in Randomized Controlled Trials
por: Li, Yunfan, et al.
Publicado: (2024)

Anytime-Valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power
por: Molitor, Daniel, et al.
Publicado: (2025)

Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
por: Song, Yilin, et al.
Publicado: (2023)

Intrinsic Random Functions and Parametric Covariance Models of Spatio-Temporal Random Processes on the Sphere
por: Kim, Jongwook, et al.
Publicado: (2025)

Selective Information Borrowing for Region-Specific Treatment Effect Inference under Covariate Mismatch in Multi-Regional Clinical Trials
por: Li, Chenxi, et al.
Publicado: (2026)

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
por: Ying, Chao, et al.
Publicado: (2025)

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
por: Heng, Siyu, et al.
Publicado: (2023)

Decomposing Gaussians with Unknown Covariance
por: Dharamshi, Ameer, et al.
Publicado: (2024)

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
por: Ouyang, Jing, et al.
Publicado: (2026)

Covariate Shift Corrected Conditional Randomization Test
por: Xu, Bowen, et al.
Publicado: (2024)

From Estimands to Robust Inference of Treatment Effects in Platform Trials
por: Qian, Yuhan, et al.
Publicado: (2024)

Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
por: Meng, Kun, et al.
Publicado: (2022)

Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
por: Yao, Tsung-Hung, et al.
Publicado: (2024)

Multilevel Regression Modeling of Covariance Matrix Outcomes
por: Green, Michelle Murphy, et al.
Publicado: (2026)

Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
por: Guo, Wenxuan, et al.
Publicado: (2025)

Clarifying the Role of the Mantel-Haenszel Risk Difference Estimator in Randomized Clinical Trials
por: Qiu, Xiaoyu, et al.
Publicado: (2024)

Covariate Adjustment for the Win Odds: Application to Cardiovascular Outcomes Trials
por: Scheidegger, Cyrill, et al.
Publicado: (2025)

Improving Power in Randomized Controlled Trials with Time-to-Event Endpoints: A Risk-Free Approach
por: Zhou, Junyi, et al.
Publicado: (2026)

An Adaptive Phase II Trial Design for Dose Selection and Addition in Microfilarial Infections
por: Zehetmayer, Sonja, et al.
Publicado: (2026)

Parsimonious Clustering of Covariance Matrices
por: Xu, Yixi, et al.
Publicado: (2025)