Rejoinder to reader reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”

We thank Dr. Kook for his thoughtful and constructive discussion of our paper. We appreciate his careful examination of the assumptions underlying our proposed method, as well as the numerical comparison with the Transformation Model Generalised Covariance Measure test proposed by Kook et al. Below, we respond to the main points raised in the Comment.

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Publication Details

Journal
Biometrics
Published
2026-01-06
DOI
https://doi.org/10.1093/biomtc/ujag038
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Rejoinder to reader reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”

Baoying Yang, Jun Qin, JING NING, Yukun Liu
Biometrics
Statistical Methods and Inference
article

Rejoinder to reader reaction “Comment on ‘Double robust conditional independence test for novel biomarkers given established risk factors with survival data’ by Lucas Kook”

Baoying Yang, Jun Qin, JING NING, Yukun Liu
article en

Abstract

We thank Dr. Kook for his thoughtful and constructive discussion of our paper. We appreciate his careful examination of the assumptions underlying our proposed method, as well as the numerical comparison with the Transformation Model Generalised Covariance Measure test proposed by Kook et al. Below, we respond to the main points raised in the Comment.

BiometricsVol. 82(1)
The University of Texas MD Anderson Cancer Center (US), National Institute of Allergy and Infectious Diseases (US), Southwest Jiaotong University (CN), East China Normal University (CN)
Openalex Percentile: Top 43%
Statistical Methods and Inference
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