SIH-HAN LIAOCHIEN-CHING HUNGCHIUNG-NIEN CHENYen, Jui-YiJui-YiYenHsu, Chen-YangChen-YangHsuYen, Amy Ming-FangAmy Ming-FangYenCHI-LING CHEN2021-11-232021-11-232021-060929-6646https://scholars.lib.ntu.edu.tw/handle/123456789/587685A synthesis design and multistate analysis is required for assessing the clinical efficacy of antiviral therapy on dynamics of multistate disease progression and in reducing the mortality and enhancing the recovery of patients with COVID-19. A case study on remdesivir was illustrated for the clinical application of such a novel design and analysis.enAntiviral therapy; Bayesian synthesis sequential design; COVID-19; Clinical efficacy; Remdesivir[SDGs]SDG3remdesivir; adenosine phosphate; alanine; antivirus agent; remdesivir; antiviral therapy; Article; Bayes theorem; controlled study; coronavirus disease 2019; death; follow up; high risk patient; high risk population; hospitalization; human; low risk population; major clinical study; risk factor; drug therapy; treatment outcome; Adenosine Monophosphate; Alanine; Antiviral Agents; Bayes Theorem; COVID-19; Humans; SARS-CoV-2; Treatment Outcomejournal article10.1016/j.jfma.2021.04.026340745792-s2.0-85107023839https://scholars.lib.ntu.edu.tw/handle/123456789/571066