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Updated: Jun 5, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

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

Published on: July 3, 2020

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使用贝叶斯模型的适应性丰富设计,用于选择和预测变量的值识别

Lara Maleyeff1, Shirin Golchi1, Erica E M Moodie1

  • 1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, QC H3A 1G1, Canada.

Biometrics
|December 10, 2024
PubMed
概括

这项研究引入了一种新的贝叶斯适应性丰富设计,用于精密医学临床试验. 它通过灵活的生物标志物建模识别出具有更好的治疗反应的患者子组,提高试验效率.

关键词:
贝叶斯模型的平均值是贝叶斯的模型.适应性丰富设计的设计.临床试验临床试验临床试验临床试验临床试验连续生物标志物 连续生物标志物精准医学是一门精准医学.

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