Digital twins and Bayesian dynamic borrowing: Two recent approaches for incorporating historical control data.
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| Title: | Digital twins and Bayesian dynamic borrowing: Two recent approaches for incorporating historical control data. |
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| Authors: | Burman CF; Early Biometrics & Statistical Innovation, Data Science & Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Hermansson E; Early Biometrics & Statistical Innovation, Data Science & Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden., Bock D; Early Biometrics & Statistical Innovation, Data Science & Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden., Franzén S; BMP Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden., Svensson D; Early Biometrics & Statistical Innovation, Data Science & Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden. |
| Source: | Pharmaceutical statistics [Pharm Stat] 2024 Sep-Oct; Vol. 23 (5), pp. 611-629. Date of Electronic Publication: 2024 Mar 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 101201192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-1612 (Electronic) Linking ISSN: 15391604 NLM ISO Abbreviation: Pharm Stat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1539-1612 |
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| DOI: | 10.1002/pst.2376 |
