Work

Exploring Sensitive Biomarkers Associated With Short‐Term Responses and Long‐Term Outcomes Using Bayesian Additive Regression Trees

Year: 2026

Type: article

Source: Statistics in Medicine

DOI: 10.1002/sim.70620

Authors: Zixuan Yao, Satoshi Morita

Institution: Kyoto University

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Japan Agency for Medical Research and Development, Eisai, Japan Society for the Promotion of Science

Awards: Bayesian methods for exploring predictive biomarker using early post-baseline response data, G713290325

OpenAlex ID: W7162774093

FWCI:

Cites: 36

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