在队列和自我控制病例系列设计中比较设计和评估能力,用于授权后的疫苗安全研究
Shuntaro Sato1, Yurika Kawazoe1, Tomohiro Katsuta2
1Clinical Research Center, Nagasaki University, Nagasaki, Japan.
PeerJ
|January 29, 2024
概括
授权后安全研究 (PASS) 需要进行强大的功率分析. 队列和自我控制病例系列 (SCCS) 设计都需要大量的样本来评估疫苗的安全性,特别是对于罕见的不良事件.
科学领域:
- 疫苗学 疫苗学 疫苗学
- 药学流行病学 药学流行病学
- 生物统计学 生物统计学
背景情况:
- 授权后安全研究 (PASS) 对疫苗安全监测至关重要.
- 通过评估疫苗接种和免疫接种后不良事件之间的关联.
- 充分的统计能力对于解释研究结果至关重要,特别是当没有发现显著差异时.
研究的目的:
- 评估在疫苗PASS中使用的常见研究设计的统计能力.
- 为了比较队列和自我控制病例系列 (SCCS) 设计的适合性,以检测不良事件.
- 确定有效的安全研究所需的样本大小和事件计数.
主要方法:
- 该研究侧重于队列和自我控制病例系列 (SCCS) 设计.
- 在疫苗安全研究的可信条件下进行了功率分析.
- 考虑了每个设计的样本大小和事件计数要求.
主要成果:
- 队列和SCCS设计都需要大量的样本大小或高事件计数来实现足够的统计能力.
- 对于罕见的不良事件,SCCS设计有利,但由于事件发生不足,功率可能会受到限制.
- 如果混是可以管理的,则可以优先考虑队列研究来估计绝对指标,而SCCS设计主要估计相对指标.
结论:
- 疫苗安全数据的有效解释需要对样本大小和事件数量进行仔细*先验*的估计.
- 研究设计选择 (队列与SCCS) 取决于具体的研究问题,事件稀有性和混控制需求.
- 强大的功率分析对于授权后疫苗安全研究的有效性和可靠性至关重要.
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