https://scholars.lib.ntu.edu.tw/handle/123456789/587685
Title: | Assessing efficacy of antiviral therapy for COVID-19 patients: A case study on remdesivir with bayesian synthesis design and multistate analysis | Authors: | SIH-HAN LIAO CHIEN-CHING HUNG CHIUNG-NIEN CHEN Yen, Jui-Yi Hsu, Chen-Yang Yen, Amy Ming-Fang CHI-LING CHEN |
Keywords: | Antiviral therapy; Bayesian synthesis sequential design; COVID-19; Clinical efficacy; Remdesivir | Issue Date: | Jun-2021 | Journal Volume: | 120 Suppl 1 | Source: | Journal of the Formosan Medical Association | Abstract: | A 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/587685 | ISSN: | 0929-6646 | DOI: | 10.1016/j.jfma.2021.04.026 | SDG/Keyword: | remdesivir; 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 Outcome |
Appears in Collections: | 醫學系 |
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