title: Quantifying Uncertainty in the Ratio of Two Measured Variables: A Recap and Example.
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.
authors.affiliation: Centre for Drug Candidate Optimisation, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia. Electronic address: david.shackleford@monash.edu.
authors.forename: David M
authors.initials: DM
authors.lastname: Shackleford
authors.affiliation: Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia.
authors.forename: Kris M
authors.initials: KM
authors.lastname: Jamsen
mesh_terms: D001682:Biological Availability; D018938:Caco-2 Cells; D006801:Humans; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D035501:Uncertainty
chemical_list: D004364:Pharmaceutical Preparations
keywords: ADME; bioavailability; caco-2 cells; in vitro models; pharmacokinetics