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Updated: May 21, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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在贝叶斯混合模型中使用主体级共变量信息进行篮子试验.

Sneha Govande1, Elizabeth H Slate2

  • 1Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Pharmaceutical statistics
|March 20, 2025
PubMed
概括

本研究引入了贝叶斯分区模型与共变量 (BPMx),以改善精准医学篮子试验的决策. 该模型有助于评估不同癌症类型的治疗疗效,特别是罕见癌症.

关键词:
贝叶斯混合模型的贝叶斯混合模型.篮子试验篮子试验生物标志物数据 生物标志物数据这是分类分类的分类.协同变量的信息.

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