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An Alternative Derivation of the Distribution of the Individual Bioequivalence Metric

Authors: Sanford, Bolton; Mohan, Sondhi; Charles, DiLiberti;

An Alternative Derivation of the Distribution of the Individual Bioequivalence Metric

Abstract

A method is proposed for estimating the probability density function (PDF) of the individual bioequivalence metric. We show that under the usual assumption of independence of the various random variables, the computations are quite feasible. A program to evaluate the integrals needed for the computations has been written. Experimentation with this program shows that the pass/fail decision based on the computed PDF compares favorably with that based on the method suggested in a recent FDA Guidance (Jan. 2001).

Related Organizations
Keywords

Therapeutic Equivalency, United States Food and Drug Administration, Confidence Intervals, United States

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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