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Updated: Jun 14, 2025

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unmconf:贝叶斯回归的R包,使用未测量的混因子

Ryan Hebdon1, James Stamey2, David Kahle2

  • 1Department of Statistical Science, Baylor University, Waco, TX, USA. Ryan_Hebdon@baylor.edu.

BMC medical research methodology
|September 7, 2024
PubMed
概括

不测量的混偏见研究结果. 新的R包unmconf通过贝叶斯模型提供概率灵敏度分析,改进了观测研究中的参数估计和不确定性评估.

关键词:
贝叶斯的方法 贝叶斯的方法流行病学 流行病学在R包中,R包是R包.灵敏度分析是一种灵敏度分析.没有测量的混.

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