Reproducible Clinical Research
- Corresponding Author:
- Shein-Chung Chow
Professor, Biostatistics and Bioinformatics, Duke University School of Medicine
2424 Erwin Road, Durham, North Carolina
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.
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.