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贝叶斯病例系列 — 贝叶斯病例系列分析

贝叶斯病例系列是一种观察性流行病学方法,它将贝叶斯推断应用于病例系列数据——通常是经历过药物或疫苗暴露和不良健康事件的患者记录。通过纳入先验证据并计算预定风险窗口内发病率比的后验估计值,该方法在控制固定的个体水平混杂因素的同时,量化了暴露与结局之间时间关联的强度。

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贝叶斯病例系列
队列研究

来源

  1. Strom, B. L. (Ed.). (2001). Pharmacoepidemiology (3rd ed.). Wiley. [Chapter on case series and signal detection] link
  2. Whitaker, H. J., Farrington, C. P., Spiessens, B., & Musonda, P. (2006). Tutorial in biostatistics: The self-controlled case series method. Statistics in Medicine, 25(10), 1768–1797. DOI: 10.1002/sim.2302

如何引用本页

ScholarGate. (2026, June 3). Bayesian Case Series Analysis. ScholarGate. https://scholargate.app/zh/epidemiology/bayesian-case-series

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ScholarGateBayesian Case Series (Bayesian Case Series Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/epidemiology/bayesian-case-series · 数据集: https://doi.org/10.5281/zenodo.20539026