Utility of real-world evidence in biosimilar development
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/04/17
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Indian UGC (journal)
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Refrences33
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Ramin B. Arani Biosimilar Biostatistics, Sandoz Pharmaceuticals Inc, Princeton, New Jersey, USA
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Jessie Wang Biosimilar Biostatistics, Sandoz Pharmaceuticals Inc, Princeton, New Jersey, USA
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Dong Pang Data Science Staffing Solutions, IQVIA, Reading, Berkshire, UK
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Samriddhi Buxy Sinha Clinical Development Unit, HEXAL AG Industriestr, Holzkirchen, Germany
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Martina Uttenreuther-Fischer Clinical Development Unit, HEXAL AG Industriestr, Holzkirchen, Germany
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Shein-Chung Chow Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
Cite
Arani, Ramin B., et al. “Utility of Real-World Evidence in Biosimilar Development”. Journal of Biopharmaceutical Statistics, 2024, pp. 1-11, https://doi.org/10.1080/10543406.2024.2330217.
Arani, R. B., Wang, J., Pang, D., Sinha, S. B., Uttenreuther-Fischer, M., & Chow, S.-C. (2024). Utility of real-world evidence in biosimilar development. Journal of Biopharmaceutical Statistics, 1-11. https://doi.org/10.1080/10543406.2024.2330217
Arani, Ramin B., Jessie Wang, Dong Pang, Samriddhi Buxy Sinha, Martina Uttenreuther-Fischer, and Shein-Chung Chow. “Utility of Real-World Evidence in Biosimilar Development”. Journal of Biopharmaceutical Statistics, 2024, 1-11. https://doi.org/10.1080/10543406.2024.2330217.
Arani RB, Wang J, Pang D, Sinha SB, Uttenreuther-Fischer M, Chow SC. Utility of real-world evidence in biosimilar development. Journal of Biopharmaceutical Statistics. 2024;:1-11.
Journal Categories
Medicine
Public aspects of medicine
Toxicology
Poisons
Medicine
Therapeutics
Pharmacology
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| R: A language and environment for statistical computing | 2022 | |||
| 10.4324/9780203771587 | ||||
| 10.1201/9781003049364 | ||||
Improving Institutional Evaluation Methods: Comparing Three Evaluations Using PSM, Exact and Coarsened Exact Matching | Research in Higher Education |
| 6 | 2021 |
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies | Statistics in Medicine |
| 2,465 | 2015 |