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多源数据整合的贝叶斯框架-从临床前研究中对人体推断的应用

Sandrine Boulet1,2, Moreno Ursino1,2,3, Robin Michelet4

  • 1Inria, HeKA, Paris, France.

Statistical methods in medical research
|March 6, 2024
PubMed
概括

这项研究引入了贝叶斯框架来整合临床前药物数据,改善了人类剂量预测. 该方法提高了数据利用率,减少了不确定性,并支持更有效的临床试验剂量选择.

关键词:
可比性可比性是指可比性.赫林格尔距离距离的距离之后的冲突冲突.后来的合并后的合并.翻译工作的翻译工作.

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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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