Cover Image

A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xin, Chu, Haitao, Liu, Lin, Roychoudhury, Satrajit
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025)

On regional treatment effect assessment using robust MAP priors
by: Zhang, Xin, et al.
Published: (2026)

Study Duration Prediction for Clinical Trials with Time-to-Event Endpoints Using Mixture Distributions Accounting for Heterogeneous Population
by: Zhang, Hong, et al.
Published: (2023)

Dynamic Prediction of the Target Survival Time in Metastatic Solid Tumor Cancer Clinical Trials
by: Wang, Sidi, et al.
Published: (2026)

The permuted score test for robust differential expression analysis
by: Barry, Timothy, et al.
Published: (2025)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)

When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence
by: Kuh, Swen, et al.
Published: (2026)

Increasing power and robustness in screening trials by testing stored specimens in the control arm
by: Katki, Hormuzd A., et al.
Published: (2024)

Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2023)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)

Evaluating treatment effects on longitudinal outcomes with attrition due to death: Methods for a two-dimentional estimand with a case study in Quality of Life
by: Reynders, Dries, et al.
Published: (2025)

Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials
by: Yung, Godwin, et al.
Published: (2024)

Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
by: Orsini, Léa, et al.
Published: (2025)

Benchmarking covariate-adjustment strategies for randomized clinical trials
by: Shao, Yulin, et al.
Published: (2026)

A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
by: Trangucci, Rob, et al.
Published: (2022)

One-sample survival tests in the presence of non-proportional hazards in oncology clinical trials
by: Szurewsky, Chloé, et al.
Published: (2025)

Differential item functioning via robust scaling
by: Halpin, Peter F.
Published: (2022)

Bootstrap Matching: a robust and efficient correction for non-random A/B test, and its applications
by: Zheng, Zihao, et al.
Published: (2024)

Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)

Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)

Extension of Dynamic Network Biomarker using the propensity score method: Simulation of causal effects on variance and correlation coefficient
by: Shinoda, Satoru, et al.
Published: (2025)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)

Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
by: Smith, E. Davies, et al.
Published: (2024)

A new test for assessing the covariate effect in ROC curves
by: Fanjul-Hevia, Arís, et al.
Published: (2024)

Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials
by: Matabuena, Marcos, et al.
Published: (2024)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders
by: Xu, Xiaoming, et al.
Published: (2024)

Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint
by: Wolbers, Marcel, et al.
Published: (2024)

Feature aware covariance estimation, with application to mixtures of chemical exposures
by: Bersson, Elizabeth, et al.
Published: (2025)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
by: Zou, Guangyong, et al.
Published: (2026)

Improving randomized controlled trial analysis via data-adaptive borrowing
by: Gao, Chenyin, et al.
Published: (2023)

Tree models for covariate-dependent method agreement with repeated measurements in clinical research
by: Karapetyan, Siranush, et al.
Published: (2026)

Eliciting prior information from clinical trials via calibrated Bayes factor
by: Demartino, Roberto Macrì, et al.
Published: (2024)

Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
by: Hamaya, Rikuta, et al.
Published: (2025)

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
by: Gao, Chenyin, et al.
Published: (2025)

Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)

Multiply robust estimation for causal survival analysis with treatment noncompliance
by: Cheng, Chao, et al.
Published: (2023)

Data-driven controlled subgroup selection in clinical trials
by: Müller, Manuel M., et al.
Published: (2025)

The R.O.A.D. to clinical trial emulation
by: Bertsimas, Dimitris, et al.
Published: (2024)