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Updated: Jul 9, 2026

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
13:54

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

Published on: August 18, 2023

在儿科试验进行中应对挑战:将贝叶斯序列设计与半参数诱导集成在一起,以处理初级和二级终点

Danila Azzolina1,2, Ileana Baldi3, Silvia Bressan4

  • 1Department of Environmental and Preventive Science, University of Ferrara, Ferrara, Italy.

BMC medical research methodology
|March 30, 2025
PubMed
概括

这项研究引入了贝叶斯适应性半参数方法,用于儿科随机对照试验 (RCT). 该方法有效地处理终点,并适应有限或相互冲突的先前数据,改善治疗效果估计和在具有挑战性的儿科研究场景中的决策.

关键词:
贝叶斯试验是贝叶斯试验.多个终点的多个终点.小儿临床试验试验预先引发的诱导方法一个半参数的先验.顺序设计的设计.

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