An efficient single-arm Bayesian adaptive trial algorithm to evaluate de-intensified oncologic treatment
Abstract Background In clinical trials, evaluating de-intensified oncologic treatment strategies can help reduce treatment-related toxicities while preserving patients’ quality of life. However, de-intensification is typically evaluated in cancers with a low relapse rate, and if the cancer type is u...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2025-12-01
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| Serie: | Trials |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s13063-025-09315-6 |
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