Bayesian hierarchical model for dose-finding trial incorporating historical data.

Han, Linxi; Deng, Qiqi; He, Zhangyi; Fleischer, Frank; Yu, Feng

Han, Linxi; Deng, Qiqi; He, Zhangyi; Fleischer, Frank; Yu, Feng.

Affiliation

Han L; School of Mathematics, University of Bristol, Bristol, UK.
Deng Q; Biostatistics and Data Sciences, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA.
He Z; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Fleischer F; Biostatistics+Data Sciences Corp, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Yu F; School of Mathematics, University of Bristol, Bristol, UK.

J Biopharm Stat ; : 1-15, 2023 Sep 07.

Article in En | MEDLINE | ID: mdl-37676029

Key words

Bayesian hierarchical framework; Dose finding; between-trial heterogeneity; historical borrowing

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom

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