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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Hlavní autoři:	Yuan Zhong, Zeynep Baskurt, Mahmood Aminilari, Jennifer Seelisch, Lindsay A. Renfro, Sharon M. Castellino, Wei Xu, David Hodgson
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-12-01
Edice:	Trials
Témata:	Bayesian adaptive trial Single-arm trial Multi-stage interim analysis Bayesian statistics
On-line přístup:	https://doi.org/10.1186/s13063-025-09315-6
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