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A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars

Publication ,  Journal Article
O’Kelly, M; Zhang, A; Lipkovich, I; Song, G; Reeve, R; Ratitch, B; Li, S; Behnke, M; Kay, J; Chow, SC; Baek, I
Published in: Statistics in Biopharmaceutical Research
January 1, 2022

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.

Duke Scholars

Published In

Statistics in Biopharmaceutical Research

DOI

EISSN

1946-6315

Publication Date

January 1, 2022

Volume

14

Issue

2

Start / End Page

204 / 216

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics
 

Citation

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O’Kelly, M., Zhang, A., Lipkovich, I., Song, G., Reeve, R., Ratitch, B., … Baek, I. (2022). A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars. Statistics in Biopharmaceutical Research, 14(2), 204–216. https://doi.org/10.1080/19466315.2020.1832567
O’Kelly, M., A. Zhang, I. Lipkovich, G. Song, R. Reeve, B. Ratitch, S. Li, et al. “A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars.” Statistics in Biopharmaceutical Research 14, no. 2 (January 1, 2022): 204–16. https://doi.org/10.1080/19466315.2020.1832567.
O’Kelly M, Zhang A, Lipkovich I, Song G, Reeve R, Ratitch B, et al. A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars. Statistics in Biopharmaceutical Research. 2022 Jan 1;14(2):204–16.
O’Kelly, M., et al. “A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars.” Statistics in Biopharmaceutical Research, vol. 14, no. 2, Jan. 2022, pp. 204–16. Scopus, doi:10.1080/19466315.2020.1832567.
O’Kelly M, Zhang A, Lipkovich I, Song G, Reeve R, Ratitch B, Li S, Behnke M, Kay J, Chow SC, Baek I. A Time-response Measure to Assess Clinical Equivalence in Rheumatoid Arthritis: an Assessment Using Data From Clinical Trials of Biosimilars. Statistics in Biopharmaceutical Research. 2022 Jan 1;14(2):204–216.
Journal cover image

Published In

Statistics in Biopharmaceutical Research

DOI

EISSN

1946-6315

Publication Date

January 1, 2022

Volume

14

Issue

2

Start / End Page

204 / 216

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics