國立政治大學統計學系
學 術 演 講
主講人：鄒宗山 特聘教授 (國立中央大學統計研究所)學 術 演 講
題 目：A robust score test for comparing probabilities of vaccines
(such as Moderna and BNT for COVID-19) in causing multiple adverse events
in the paired scenario
時 間：民國113年10月7日 (星期一) 下午4：00
地 點：國立政治大學逸仙樓050101教室
摘 要：
In the COVID-19 pandemic various vaccines were manufactured to prevent contracting the disease. Individuals often inject more than one vaccine of different brands for better protection, and alongside each vaccine are multiple side effects. We introduce a robust score test to determine whether two or more vaccines have the same probability of causing multiple binary side effects. One can conveniently implement the innovative methodology without dealing with the model encompassing numerous joint probabilities of no direct relevance to the inferences of interest. Our novel technique is applicable when patients have different numbers of side effects and have no paired counterparts.
