alexa Reproducible Clinical Research
ISSN: 2169-0138

Drug Designing: Open Access
Open Access

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Conference Proceeding

Reproducible Clinical Research

Shein-Chung Chow1* and Fuyu Song2

1Duke University School of Medicine, Durham, North Carolina, USA

2Center for Food and Drug Inspection, China Food and Drug Administration, Beijing, China

Corresponding Author:
Shein-Chung Chow
Professor, Biostatistics and Bioinformatics, Duke University School of Medicine
2424 Erwin Road, Durham, North Carolina
Tel: 919-699-7922
E-mail: sheinchung.chow@duke.edu

Received Date: May 26, 2016; Accepted Date: June 12, 2016; Published Date: June 20, 2016

Citation: Chow SC, Song F (2016) Reproducible Clinical Research. Drug Des 5:132. doi: 10.4172/2169-0138.1000132

Copyright: © 2016 Chow SC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

In clinical research, a non-reproducible research finding is not considered a valid science. Non-reproducible research findings could be biased and hence misleading in clinical research and development. It is then strongly suggested that in addition to the validity and reliability of the research findings, the probability of reproducibility be assessed based on the observed research findings. In this short commentary, a Bayesian approach for evaluation of reproducibility probability of the observed research findings is proposed.

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