[The application of sequential analysis for continuous post-market vaccine safety surveillance].

• Tác giả: J C Dai, H L Li, M S Li, Z X Lu, J H Pan, S W Tang, H M Wo, Y W Wu, H G Yi, E Yu, Y Zhao
• Ngôn ngữ: eng
• Thông tin xuất bản: China : Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi , 2025
• Bộ sưu tập: NCBI
• ID: 727494

Tóm tắt

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 (