| Autor: |
Sridhara, Rajeshwari, Marchenko, Olga, Jiang, Qi, Pazdur, Richard, Posch, Martin, Berry, Scott, Theoret, Marc, Shen, Yuan Li, Gwise, Thomas, Hess, Lorenzo, Raven, Andrew, Rantell, Khadija, Roes, Kit, Simon, Richard, Redman, Mary, Ji, Yuan, Lu, Cindy |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Statistics in Biopharmaceutical Research 14.3 (2022): 353-357 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1080/19466315.2021.1938204 |
| Popis: |
This article summarizes the discussions from the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section Open Forum that took place on December 10, 2020 and was organized by the ASA BIOP Statistical Methods in Oncology Scientific Working Group, in coordination with the US FDA Oncology Center of Excellence. Diverse stakeholders including experts from international regulatory agencies, academicians, and representatives of the pharmaceutical industry engaged in a discussion on the use of non-concurrent control in Master Protocols for oncology trials. While the use of non-concurrent control with the concurrent control may increase the power of detecting the therapeutic difference between a treatment and the control, the panelists had diverse opinion on the statistical approaches for modeling non-concurrent and concurrent controls. Some were more concerned about the temporality of the non-concurrent control and bias introduced by different confounders related to time, e.g., changes in standard of care, changes in patient population, changes in recruiting strategies, changes in assessment of endpoints. Nevertheless, in some situations such as when the recruitment is extremely challenging for a rare disease, the panelists concluded that the use of a non-concurrent control can be justified. |
| Databáze: |
arXiv |
| Externí odkaz: |
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