Gingyogedokusan versus oseltamivir for the treatment of influenza: Bayesian inference using the Markov chain Monte Carlo method with prior pilot study data-Reference-Cited by-同舟云学术

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Gingyogedokusan versus oseltamivir for the treatment of influenza: Bayesian inference using the Markov chain Monte Carlo method with prior pilot study data

Published:2019-10-08 Issue:3 Volume:6 Page:134-138
ISSN:2053-4515
Container-title:Traditional & Kampo Medicine
language:en
Short-container-title:Traditional & Kampo Medicine

Author:

Iwata Kentaro¹^ORCID,Nishimoto Takashi²,Higasa Kumi³,Usuki Seiichiro⁴,Miyakoshi Chisato⁵

Affiliation:

1. Division of Infectious Diseases TherapeuticsKobe University Graduate School of Medicine Kobe Japan

2. Nishimoto Clinic Nishinomiya Japan

3. Kawasaki Clinic Minami‐Awaji Japan

4. Usuki Cardiovascular Clinic Kobe Japan

5. Department of Research SupportCenter for Clinical Research and Innovation, Kobe City Medical Center General Hospital Kobe Japan

Funder

Rhoto Pharmaceutical Ltd

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tkm2.1228

Reference20 articles.

1. Accuracy of Rapid Influenza Diagnostic Tests

2. Assessing baloxavir susceptibility of influenza viruses circulating in the United States during the 2016/17 and 2017/18 seasons

3. Surveillance for Neuraminidase Inhibitor Resistance among Human Influenza A and B Viruses Circulating Worldwide from 2004 to 2008

4. Systematic review of influenza resistance to the neuraminidase inhibitors

5. Neuraminidase Inhibitor Susceptibility Testing in Human Influenza Viruses: A Laboratory Surveillance Perspective

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