A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars. (3rd April 2022)
- Record Type:
- Journal Article
- Title:
- A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars. (3rd April 2022)
- Main Title:
- A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars
- Authors:
- O'Kelly, Michael
Zhang, Aijing
Lipkovich, Ilya
Song, Guochen
Reeve, Russell
Ratitch, Bohdana
Li, Siying
Behnke, Martha
Kay, Jonathan
Chow, Shein-Chung
Baek, Inyoung - Abstract:
- ABSTRACT: Because of structural complexity, a "biosimilar" will not be exactly the same as its reference biologic treatment, but is required to be equivalent in all relevant attributes, including efficacy. Therapeutic equivalence is often assessed at a single time point and trajectory up to that time point ignored. This paper describes a measure to assess therapeutic equivalence in rheumatoid arthritis that takes into account both the trajectory and the peak efficacy. This time-response measure is compared with the standard single-time-point measure via simulations based on recent clinical trials of biosimilars. Scenarios can be constructed where the single-time-point measure is more sensitive in detection of non-equivalence, particularly where the time-response curve is not monotone; but for a variety of trajectories the time-response measure has lower Type II error rate (higher power) for a given Type I error rate. Performance is adversely affected by missing data for both measures. A limitation of the time-response measure is that it assumes a two-parameter exponential model for the trajectory of efficacy over time. Results under poor model fit are also presented. Where similarity of clinical outcome over time is a concern, the time-response measure should be considered when comparing a biosimilar and its reference product.
- Is Part Of:
- Statistics in biopharmaceutical research. Volume 14:Number 2(2022)
- Journal:
- Statistics in biopharmaceutical research
- Issue:
- Volume 14:Number 2(2022)
- Issue Display:
- Volume 14, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 14
- Issue:
- 2
- Issue Sort Value:
- 2022-0014-0002-0000
- Page Start:
- 204
- Page End:
- 216
- Publication Date:
- 2022-04-03
- Subjects:
- bootstrap -- exponential distribution -- missing data -- time-response
Pharmacy -- Statistical methods -- Periodicals
Pharmaceutical biotechnology -- Statistical methods -- Periodicals
Biopharmaceutics -- Periodicals
Biometry -- Periodicals
Pharmacy -- Statistical methods
Periodicals
615.190727 - Journal URLs:
- http://www.tandfonline.com/toc/usbr20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19466315.2020.1832567 ↗
- Languages:
- English
- ISSNs:
- 1946-6315
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21427.xml