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COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies

Biometrics(2025)10.1093/biomtc/ujaf077Source: DataRank Database

COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies is a research paper published in Biometrics (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Enrichment:Funding (6 grants)OA: greenTopics (15)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Ruitao Lin ORCID,Ying Yuan ORCID,Xiaohan Chi ORCID

Live enrichment

PubMed:40552493 PMC:PMC12206157

National Institutes of Health

Grant: R01CA261978

National Institutes of Health

Grant: R21LM014699

National Cancer Institute

Grant: P50CA281701

National Cancer Institute

Grant: P50CA127001

National Cancer Institute

Grant: P50CA221707

National Cancer Institute

Grant: U24CA274212

greenLicense: https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12206157/

publisherhttps://academic.oup.com/biometrics/article-pdf/81/2/ujaf077/63564999/ujaf077.pdf

MeSH Terms

HumansNeoplasmsDrug Therapy, CombinationLogistic ModelsBayes TheoremSample SizeDose-Response Relationship, DrugComputer SimulationRandomized Controlled Trials as TopicClinical Trials, Phase II as Topic

Keywords

Combination therapyDose OptimizationInformation BorrowingMulti-arm Randomized TrialComponent Contribution

COCA: a randomized Bayesian design integrating dose optimization and component contribution assessment for combination therapies

FAIR Checklist

Authors (3)

Funding (6 grants)

Open Access

Topics

Annotations (Europe PMC)