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.

Pennello, Gene; Xu, Dandan

Pennello, Gene; Xu, Dandan.

Affiliation

Pennello G; 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.
Xu D; 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.

Biom J ; 64(2): 225-234, 2022 02.

Article in En | MEDLINE | ID: mdl-33377537

Subject(s)

Logic; Software; Plant Extracts; Proportional Hazards Models; Randomized Controlled Trials as Topic

Key words

causal inference; companion diagnostic; confounding; estimand; prognostic and predictive biomarkers; subgroup analysis

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Full text: 1 Database: MEDLINE Main subject: Software / Logic Type of study: Clinical_trials / Prognostic_studies Language: En Journal: Biom J Year: 2022 Type: Article Affiliation country: United States

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