Quantifying Uncertainty in the Ratio of Two Measured Variables: A Recap and Example

David M. Shackleford; Kris M. Jamsen

doi:10.1016/j.xphs.2016.07.019

Quantifying Uncertainty in the Ratio of Two Measured Variables: A Recap and Example

David M. Shackleford
, Kris M. Jamsen

Research output: Contribution to journal › Article › Other › peer-review

5 Citations (Scopus)

Abstract

Estimating uncertainty in the ratio of 2 measured variables can be achieved via 2 seemingly different approaches: by determining the variance of the first-order Taylor approximation to the ratio, or by the so-called “Propagation of Error” approach. This Lesson Learned shows that the 2 approaches are mathematically equivalent, and provides an example of the approach.

Original language	English
Pages (from-to)	3462-3463
Number of pages	2
Journal	Journal of Pharmaceutical Sciences
Volume	105
Issue number	11
DOIs	https://doi.org/10.1016/j.xphs.2016.07.019
Publication status	Published - 1 Nov 2016

Keywords

ADME
bioavailability
caco-2 cells
in vitro models
pharmacokinetics

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10.1016/j.xphs.2016.07.019

Cite this

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abstract = "Estimating uncertainty in the ratio of 2 measured variables can be achieved via 2 seemingly different approaches: by determining the variance of the first-order Taylor approximation to the ratio, or by the so-called “Propagation of Error” approach. This Lesson Learned shows that the 2 approaches are mathematically equivalent, and provides an example of the approach.",

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KW - bioavailability

KW - caco-2 cells

KW - in vitro models

KW - pharmacokinetics

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Quantifying Uncertainty in the Ratio of Two Measured Variables: A Recap and Example

Abstract

Keywords

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