Skip to main content
Journal cover image

Assessing sensitivity and similarity in bridging studies.

Publication ,  Journal Article
Chow, S-C; Shao, J; Hu, OY-P
Published in: J Biopharm Stat
August 2002

In pharmaceutical industry, the sponsors are interested in bringing their drug products from one region (e.g., the United States of America) to another region (e.g., Asian Pacific) to increase the exclusivity of the drug products in the marketplace. However, it is a concern whether the clinical results can be extrapolated from the target patient population in one region to a similar but different patient population in a new region due to a possible difference in ethnic factors. The International Conference on Harmonization (ICH) recommends that a bridging study may be necessarily conducted to extrapolate the clinical results between regions. However, little or no information regarding the criterion for determining whether a bridging study is necessary based on the evaluation of the complete clinical data package is provided by the ICH. Furthermore, no criterion on the assessment of similarity of clinical results between regions is given. In this paper, we propose the use of a sensitivity index as a possible criterion for regulatory authorities in the new region to evaluate whether a bridging clinical study should be conducted and the sample size of such a bridging clinical study. A criterion and a statistical method for assessment of similarity of clinical results between regions are also proposed, using the concept of population bioequivalence [FDA. Guidance for Industry--Statistical Approaches to Establishing Bioequivalence, Center for Drug Evaluation and Research, Food and Drug Administration: Rockville, MD, 2001] assuming that study site is random.

Duke Scholars

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

August 2002

Volume

12

Issue

3

Start / End Page

385 / 400

Location

England

Related Subject Headings

  • Therapeutic Equivalency
  • Statistics & Probability
  • Research Design
  • Reproducibility of Results
  • Models, Statistical
  • Drug Industry
  • Bayes Theorem
  • Algorithms
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chow, S.-C., Shao, J., & Hu, O.-P. (2002). Assessing sensitivity and similarity in bridging studies. J Biopharm Stat, 12(3), 385–400. https://doi.org/10.1081/bip-120014567
Chow, Shein-Chung, Jun Shao, and Oliver Yoa-Pu Hu. “Assessing sensitivity and similarity in bridging studies.J Biopharm Stat 12, no. 3 (August 2002): 385–400. https://doi.org/10.1081/bip-120014567.
Chow S-C, Shao J, Hu OY-P. Assessing sensitivity and similarity in bridging studies. J Biopharm Stat. 2002 Aug;12(3):385–400.
Chow, Shein-Chung, et al. “Assessing sensitivity and similarity in bridging studies.J Biopharm Stat, vol. 12, no. 3, Aug. 2002, pp. 385–400. Pubmed, doi:10.1081/bip-120014567.
Chow S-C, Shao J, Hu OY-P. Assessing sensitivity and similarity in bridging studies. J Biopharm Stat. 2002 Aug;12(3):385–400.
Journal cover image

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

August 2002

Volume

12

Issue

3

Start / End Page

385 / 400

Location

England

Related Subject Headings

  • Therapeutic Equivalency
  • Statistics & Probability
  • Research Design
  • Reproducibility of Results
  • Models, Statistical
  • Drug Industry
  • Bayes Theorem
  • Algorithms
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences