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Statistics in Medicine|September 19, 2025
Model-Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall SurvivalXuan Wang, Tianxi Cai, Lu Tian, et al.
Medical Care|December 11, 2023
Statistical Methods to Evaluate Surrogate MarkersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biometrics|August 4, 2025
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trialsXuan Wang, Jie Zhou, Layla Parast, et al.
Lifetime Data Analysis|December 21, 2012
Evaluating incremental values from new predictors with net reclassification improvement in survival analysisYingye Zheng, Layla Parast, Tianxi Cai, et al.
Biometrika|June 27, 2020
Model-free approach to quantifying the proportion of treatment effect explained by a surrogate markerXuan Wang, Layla Parast, L U Tian, et al.
BMJ Open Diabetes Research & Care|October 31, 2023
Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biostatistics (Oxford, England)|July 6, 2022
Doubly robust evaluation of high-dimensional surrogate markersDenis Agniel, Boris P Hejblum, Rodolphe Thiébaut, et al.
Statistics in Medicine|September 5, 2025
RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to VaccinologyArthur Hughes, Layla Parast, Rodolphe Thiébaut, et al.
Statistics in Medicine|September 2, 2021
Quantifying the feasibility of shortening clinical trial duration using surrogate markersXuan Wang, Tianxi Cai, Lu Tian, et al.
The Journal of Allergy and Clinical Immunology|November 23, 2023
Lower socioeconomic status may help explain racial disparities in asthma and atopic dermatitis prevalence: A mediation analysisEmily A Croce, Layla Parast, Darlene Bhavnani, et al.
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