Bioequivalence revisited.

Abstract:

:The FDA permits marketing of a generic formulation of a drug G for the same indications as a standard preparation S if one can show that G is bioequivalent to S. Present implementation requires convincing evidence that the population mean difference in bioavailability (drug exposure) between the two preparations lies within specified bounds. The basis for this standard does not appear to involve a comprehensive model for the dose-response relationship, or consideration of clinical issues, notably (i) whether a patient is to commence on the drug or to switch from an established regimen to a new one; or (ii) that the risk of inequivalence relates to uncertainty of outcome. In this paper, I propose a comprehensive model for dose response and a tentative model for risk that addresses these issues. Specifically, I propose two new measures of bioequivalence which are based on these models, which differ in the two clinical circumstances above, and which respond to both bias and variance of outcome. I present two examples, and some simulations of the application of the new measures.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Sheiner LB

doi

10.1002/sim.4780111311

subject

Has Abstract

pub_date

1992-09-30 00:00:00

pages

1777-88

issue

13

eissn

0277-6715

issn

1097-0258

journal_volume

11

pub_type

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