Incorporating historical information to improve phase I clinical trials.

Zhou, Yanhong; Lee, J Jack; Wang, Shunguang; Bailey, Stuart; Yuan, Ying

Zhou, Yanhong; Lee, J Jack; Wang, Shunguang; Bailey, Stuart; Yuan, Ying.

Affiliation

Zhou Y; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Lee JJ; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Wang S; Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA.
Bailey S; Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA.
Yuan Y; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Pharm Stat ; 20(6): 1017-1034, 2021 11.

Article in En | MEDLINE | ID: mdl-33793044

Subject(s)

Research Design; Bayes Theorem; Computer Simulation; Dose-Response Relationship, Drug; Humans; Maximum Tolerated Dose; Sample Size

Key words

dose finding; historical data; maximum tolerated dose; model-assisted design; real-world evidence

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pharm Stat Journal subject: FARMACOLOGIA Year: 2021 Type: Article Affiliation country: United States

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