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Bioequivalence review for drug interchangeability.

Publication ,  Journal Article
Chow, SC; Shao, J
Published in: J Biopharm Stat
August 1999

To monitor the performance of the approved generic copies of a brand-name drug, we propose some methods in assessing bioequivalence among generic copies and the brand-name drug, and among generic copies themselves, using data from several bioequivalence studies adopting the standard 2 x 2 crossover design without carryover effects. We propose a meta-analysis method that increases statistical power when the between-subject variability is not large. A nonmeta-analysis is also considered. A numerical example of applying both methods is presented for illustration.

Duke Scholars

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

August 1999

Volume

9

Issue

3

Start / End Page

485 / 497

Location

England

Related Subject Headings

  • Therapeutic Equivalency
  • Statistics & Probability
  • Reference Standards
  • Models, Statistical
  • Meta-Analysis as Topic
  • Mathematical Computing
  • Humans
  • Drugs, Generic
  • Cross-Over Studies
  • Biometry
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chow, S. C., & Shao, J. (1999). Bioequivalence review for drug interchangeability. J Biopharm Stat, 9(3), 485–497. https://doi.org/10.1081/BIP-100101189
Chow, S. C., and J. Shao. “Bioequivalence review for drug interchangeability.J Biopharm Stat 9, no. 3 (August 1999): 485–97. https://doi.org/10.1081/BIP-100101189.
Chow SC, Shao J. Bioequivalence review for drug interchangeability. J Biopharm Stat. 1999 Aug;9(3):485–97.
Chow, S. C., and J. Shao. “Bioequivalence review for drug interchangeability.J Biopharm Stat, vol. 9, no. 3, Aug. 1999, pp. 485–97. Pubmed, doi:10.1081/BIP-100101189.
Chow SC, Shao J. Bioequivalence review for drug interchangeability. J Biopharm Stat. 1999 Aug;9(3):485–497.
Journal cover image

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

August 1999

Volume

9

Issue

3

Start / End Page

485 / 497

Location

England

Related Subject Headings

  • Therapeutic Equivalency
  • Statistics & Probability
  • Reference Standards
  • Models, Statistical
  • Meta-Analysis as Topic
  • Mathematical Computing
  • Humans
  • Drugs, Generic
  • Cross-Over Studies
  • Biometry