AUC∞ = lousy metric [NCA / SHAM]
Hi John,
Yes & no. The variability is higher because it depends on Clast which is expected to be the most variable data point of the profile. That’s trivial. More interesting is that AUC∞ might also be biased – especially for two-compartment PK and caused by not always ‘catching’ the true λz in the area of LLOQ.
❝ Not trying to play genius but isn't that obvious since AUCinf is based on AUCt and a component which is based on extrapolation and in turn dependent on regression?
Yes & no. The variability is higher because it depends on Clast which is expected to be the most variable data point of the profile. That’s trivial. More interesting is that AUC∞ might also be biased – especially for two-compartment PK and caused by not always ‘catching’ the true λz in the area of LLOQ.
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Failing BE study due to AUCinf jag009 2013-06-19 17:44
- AUC∞ = lousy metric Helmut 2013-06-19 18:15
- AUC∞ = lousy metric jag009 2013-06-19 19:35
- AUC∞ = lousy metric jag009 2013-06-19 21:20
- AUC∞ = lousy metricHelmut 2013-06-20 17:29
- AUC∞ = lousy metric jag009 2013-06-20 20:32
- AUC∞ = lousy metricHelmut 2013-06-20 17:29
- Failing BE study due to AUCinf ElMaestro 2013-06-19 18:48
- Failing BE study due to AUCinf jag009 2013-06-19 19:41
- AUC∞ = lousy metric Helmut 2013-06-19 18:15