Discussion on “Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials” by Yi Liu, Bushi Wang, Miao Yang, Jianan Hui, Heng Xu, Siyoen Kil, and Jason C. Hsu-Reference-Cited by-同舟云学术

Discussion on “Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials” by Yi Liu, Bushi Wang, Miao Yang, Jianan Hui, Heng Xu, Siyoen Kil, and Jason C. Hsu

Published:2020-12-30 Issue: Volume: Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Pennello Gene¹^ORCID,Xu Dandan²

Affiliation:

1. Division of Imaging, Diagnostic and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health U.S. Food and Drug Administration Silver Spring MD USA

2. Division of Biostatistics, Office of Clinical Evidence and Analysis, Office of Product Evaluation and Quality, Center for Devices and Radiological Health U.S. Food and Drug Administration Silver Spring MD USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000320

Reference18 articles.

1. The cost of dichotomising continuous variables

2. Model inconsistency, illustrated by the cox proportional hazards model

3. Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials;Liu Y. I.;Biometrical Journal,2020

4. Sensitivity, Specificity, PPV, and NPV for predictive biomarkers;Simon R.;Journal of National Cancer Institute,2015

5. Summary Rates

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1. Rejoinder for discussions on correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials;Biometrical Journal;2021-07-16