Cover Image

Resilience Measures for the Surrogate Paradox

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hsiao, Emily, Tian, Lu, Parast, Layla
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Functional-Class Meta-Analytic Framework for Quantifying Surrogate Resilience
by: Hsiao, Emily, et al.
Published: (2026)

Efficient Testing Using Surrogate Information
by: Knowlton, Rebecca, et al.
Published: (2025)

Robust Evaluation of Longitudinal Surrogate Markers with Censored Data
by: Agniel, Denis, et al.
Published: (2024)

A Bayesian Critique of Rank-Based Methods for Surrogate Marker Evaluation
by: Carlotti, Pietro, et al.
Published: (2026)

Group Sequential Testing of a Treatment Effect Using a Surrogate Marker
by: Parast, Layla, et al.
Published: (2024)

Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Wang, Xuan, et al.
Published: (2024)

Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners
by: Knowlton, Rebecca, et al.
Published: (2025)

A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2026)

Meta-Analysis of High-Dimensional Surrogate Markers
by: Hughes, Arthur, et al.
Published: (2026)

Semiparametric Joint Modeling to Estimate the Treatment Effect on a Longitudinal Surrogate with Application to Chronic Kidney Disease Trials
by: Wang, Xuan, et al.
Published: (2024)

Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
by: Lotspeich, Sarah C., et al.
Published: (2026)

RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology
by: Hughes, Arthur, et al.
Published: (2025)

A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker
by: Rebecca Knowlton, et al.
Published: (2025)

Efficient Testing Using Surrogate Information
by: Rebecca Knowlton, et al.
Published: (2025)

Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Xuan Wang, et al.
Published: (2025)

Assessing heterogeneity in surrogacy using censored data
by: Layla Parast, et al.
Published: (2024)

Evaluation of Surrogate Endpoints Based on Meta-Analysis with Surrogate Indices
by: Stijven, Florian, et al.
Published: (2025)

Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023)

Surrogate-Powered Inference: Regularization and Adaptivity
by: Chen, Jianmin, et al.
Published: (2025)

A Surrogate Endpoint Based Provisional Approval Causal Roadmap
by: Gilbert, Peter B., et al.
Published: (2024)

Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
by: Athey, Susan, et al.
Published: (2016)

Measures for Assessing Causal Effect Heterogeneity Unexplained by Covariates
by: Kawakami, Yuta, et al.
Published: (2026)

Interpretable Deep Neural Network for Modeling Functional Surrogates
by: Jeon, Yeseul, et al.
Published: (2025)

SLOACI: Surrogate-Leveraged Online Adaptive Causal Inference
by: Fan, Yingying, et al.
Published: (2025)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

Inverse sampling intensity weighting for preferential sampling adjustment
by: Hsiao, Thomas W., et al.
Published: (2025)

Propagating Surrogate Uncertainty in Bayesian Inverse Problems
by: Roberts, Andrew Gerard, et al.
Published: (2026)

Two-stage Design for Failure Probability Estimation with Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2024)

Continuous Treatment Effects with Surrogate Outcomes
by: Zeng, Zhenghao, et al.
Published: (2024)

Active Learning with Adaptive Non-Stationary Kernel for Continuous-Fidelity Surrogate Models
by: Boutelet, Romain, et al.
Published: (2025)

Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
by: Schär, Styfen, et al.
Published: (2024)

Efficient Transported Distributional and Quantile Treatment Effects with Surrogate-Assisted Missing Primary Outcomes
by: Wang, Pengyun
Published: (2026)

Model Selection and Parameter Inference through Constraints via Sequences of Surrogate Smoothing Functions
by: Shaikh, Mateen R
Published: (2026)

Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
by: Järvenpää, Marko, et al.
Published: (2025)

Bias in Meta-Analytic Modeling of Surrogate Endpoints in Cancer Screening Trials
by: Long, James P., et al.
Published: (2025)

Evaluating Surrogates in Individualized Treatment Rules
by: Xu, Zeyu, et al.
Published: (2025)

Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
by: Mozer, Reagan, et al.
Published: (2026)

Conditional Inference for Secondary Outcomes Based on the Testing Result for the Primary Outcome in Clinical Trials
by: Pan, Tianyu, et al.
Published: (2025)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
by: Hung, Ting-Chih, et al.
Published: (2026)

Spatiotemporal double machine learning to estimate the impact of Cambodian land concessions on deforestation
by: Arifin, Anika, et al.
Published: (2026)