对模拟研究的方法审查发表在"药物流行病学和药物安全"杂志上
Ryan Muddiman1, Florencia Inés Aiello Battan2, John Tazare3
1School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Pharmacoepidemiology and drug safety
|January 16, 2026
概括
药理流行病学中的模拟研究对于评估统计方法有价值. 然而,这次审查发现,许多研究缺乏复杂性,没有报告不确定性,这表明需要更强大的模拟.
科学领域:
- 药学流行病学 药学流行病学
- 统计方法 统计方法
- 卫生研究 卫生研究 卫生研究
背景情况:
- 在药理流行病学中,模拟研究对于在受控条件下评估统计方法至关重要.
- 一个已知的数据生成机制允许评估各种方法和假设的性能.
研究的目的:
- 审查在药理流行病学领域进行的模拟研究.
- 确定研究特征的趋势,数据生成机制和使用的推断方法.
主要方法:
- 2017年至2024年发表在"药物流行病学与药物安全" (PDS) 杂志上的模拟研究的系统审查.
- 数据提取的重点是研究特征,数据生成机制,推断方法和模拟大小.
主要成果:
- 在42个模拟研究中,81%提供了有效性/安全性比较研究的信息. 蒙特卡洛模拟是普遍存在的 (86%).
- 数据生成通常使用的输入不仅来自实证数据 (52%) 或与现实数据 (45%) 结合.
- 模拟通常具有较低的复杂性,很少实现时间依赖的共变量或效应. 偏见是最常见的绩效指标 (62%),但43%的人没有报告不确定性.
结论:
- 模拟研究只占PDS (2017-2024) 中的一小部分 (3.2%) 的出版物.
- 需要更多地关注评估方法和推断方法.
- 增加模拟研究的复杂性,以更好地反映临床现实,可能有利于制药流行病学.
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