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Updated: Jul 21, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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一个时空层次模型来解释美国社区调查的解释变量中的时间错位

Jihyeon Kwon1, David M Kline2, Staci A Hepler1

  • 1Department of Statistical Sciences, Wake Forest University, Winston-Salem, 27109, NC, USA.

Spatial and spatio-temporal epidemiology
|July 27, 2023
PubMed
概括

这项研究引入了贝叶斯模型,以准确分析美国人口普查局 (ACS) 的数据,并考虑时间变化. 这种新方法可以更好地估计公共卫生研究中的共同变量效应.

关键词:
贝叶斯语 贝叶斯语 贝叶斯语 贝叶斯语支持的变化支持的变化流行病学 流行病学测量时出现的测量误差空间空间 空间空间

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