A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials. Issue 5 (23rd December 2016)
- Record Type:
- Journal Article
- Title:
- A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials. Issue 5 (23rd December 2016)
- Main Title:
- A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials
- Authors:
- Pan, Haitao
Yuan, Ying
Xia, Jielai - Abstract:
- Summary: A biosimilar product refers to a follow‐on biologic that is intended to be approved for marketing on the basis of biosimilarity to an existing patented biological product (i.e. the reference product). To develop a biosimilar product, it is essential to demonstrate biosimilarity between the follow‐on biologic and the reference product, typically through two‐arm randomization trials. We propose a Bayesian adaptive design for trials to evaluate biosimilar products. To take advantage of the abundant historical data on the efficacy of the reference product that is typically available at the time that a biosimilar product is developed, we propose the calibrated power prior, which allows our design to borrow information adaptively from the historical data according to the congruence between the historical data and the new data collected from the current trial. We propose a new measure, the Bayesian biosimilarity index, to measure the similarity between the biosimilar product and the reference product. During the trial, we evaluate the Bayesian biosimilarity index in a group sequential fashion on the basis of the accumulating interim data and stop the trial early once there is enough information to conclude or reject the similarity. Extensive simulation studies show that the design proposed has higher power than traditional designs. We applied the design to a biosimilar trial for treating rheumatoid arthritis.
- Is Part Of:
- Journal of the Royal Statistical Society. Volume 66:Issue 5(2017:Nov.)
- Journal:
- Journal of the Royal Statistical Society
- Issue:
- Volume 66:Issue 5(2017:Nov.)
- Issue Display:
- Volume 66, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 66
- Issue:
- 5
- Issue Sort Value:
- 2017-0066-0005-0000
- Page Start:
- 979
- Page End:
- 996
- Publication Date:
- 2016-12-23
- Subjects:
- Bayesian adaptive design -- Biosimilar -- Biosimilarity index -- Borrowed information -- Calibrated power prior -- Follow‐up biologics -- Historical data
Statistics -- Periodicals
519.5 - Journal URLs:
- http://rss.onlinelibrary.wiley.com/hub/journal/10.1111/(ISSN)1467-9876/ ↗
https://academic.oup.com/jrsssc ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/rssc.12204 ↗
- Languages:
- English
- ISSNs:
- 0035-9254
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1580.000000
British Library DSC - BLDSS-3PM
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- 4749.xml