Cargando…
A dose-finding design for phase I clinical trials based on Bayesian stochastic approximation
BACKGROUND: Current dose-finding designs for phase I clinical trials can correctly select the MTD in a range of 30–80% depending on various conditions based on a sample of 30 subjects. However, there is still an unmet need for efficiency and cost saving. METHODS: We propose a novel dose-finding desi...
Autores principales: | Xu, Jin, Zhang, Dapeng, Mu, Rongji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526928/ https://www.ncbi.nlm.nih.gov/pubmed/36183071 http://dx.doi.org/10.1186/s12874-022-01741-3 |
Ejemplares similares
-
Approximate Bayesian computation design for phase I clinical trials
por: Jin, Huaqing, et al.
Publicado: (2022) -
An adaptive gBOIN design with shrinkage boundaries for phase I dose-finding trials
por: Mu, Rongji, et al.
Publicado: (2021) -
Stochastic approximation cut algorithm for inference in modularized Bayesian models
por: Liu, Yang, et al.
Publicado: (2021) -
Bayesian dose-finding designs for combination of molecularly targeted agents assuming partial stochastic ordering
por: Guo, Beibei, et al.
Publicado: (2014) -
Subgroup‐specific dose finding for phase I‐II trials using Bayesian clustering
por: Curtis, Alexandra, et al.
Publicado: (2022)