QCs vs. calibrators [Bioanalytics]
❝ ❝ Again, what’s your rationale of “excluding a standard sample” – calibrators and QCs are prepared in exactly the same way? Both are spiked samples of known concentrations. If you ask for an “excellent and documented analytical reason” to exclude a QC, why do you not require the same for standards? Or do you? To paraphrase your statement:
❝ ❝ Your calibrator is an experimental result […]
❝
❝ True. But calibrators and QCs have a different aim in your run:
❝ - calibrators are used to calculate all concentrations in your run (subject samples and QCs).
ACK.
❝ A problem with a single calibrator will directly and negatively affect all results in the run.
Sidenote: As may a single QC.

❝ And what you're trying to measure is not the back-calculated concentration of your calibrators (which you fundamentally don't care about)…
I’m interested in the back-calculated concentrations as well. OK, to be more precise, to check the residuals (haha, is the applied weighting scheme of the curve appropriate as established in validation). I have to back-calculate concentrations first, in order to be able to exclude a point. Again, would you allow that without justification (in my limited experience FDA does), or would you like to see the same justifications you required for QCs?
❝ … but the concentration of your subject samples.
Right, that’s the primary objective.
❝ - QCs are there to monitor the precision and accuracy of your method, as applied to your subject samples. Treating them differently from your subject samples would therefore introduce a bias in that estimation.
I didn’t ask for that. I got the impression that you would treat calibrators and QCs differently.
❝ […] many Agencies unfortunately hate to hear about "PK repeats".
Yes, you know my opinion about that: It’s not only bad science, but in contradiction to many authorities as well (FDA, HPB/TGD, ANVISA,…). So much about harmonization.
❝ So unless you have a clear analytical reason, you will accept all subject samples in a validated analytical run.
Sure.
❝ The same goes with QC samples…
What do you mean by this? Sounds like an oxymoron to me.
P.S.: Interesting thread.
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Science Quotes
Complete thread:
- outliers test for QC sample mathews 2007-10-11 07:58
- outliers test - but not for QCs! Helmut 2007-10-11 15:31
- Outlier test - but not for QC's yuvrajkatkar 2010-01-19 08:49
- Outlier test - but not for QC's H_Rotter 2010-01-19 12:55
- Outlier tests: forget it! Helmut 2010-01-19 17:36
- Outlier tests: forget it! Ohlbe 2010-01-19 19:00
- Outlier tests: forget it! Helmut 2010-01-19 19:16
- Outlier tests: forget it! Ohlbe 2010-01-19 21:00
- QCs vs. calibrators Helmut 2010-01-19 21:49
- QCs vs. calibrators Ohlbe 2010-01-20 19:01
- QCs vs. calibratorsHelmut 2010-01-20 19:26
- QCs vs. calibrators Ohlbe 2010-01-20 19:52
- QCs vs. calibratorsHelmut 2010-01-20 19:26
- QCs vs. calibrators Ohlbe 2010-01-20 19:01
- Two thirds of QCs H_Rotter 2010-01-20 16:21
- Two thirds of QCs Ohlbe 2010-01-20 18:49
- Outlier tests: forget it!....what if.... moblak 2010-01-25 10:04
- Outlier tests: forget it!....what if.... Ohlbe 2010-01-25 23:19
- QCs vs. calibrators Helmut 2010-01-19 21:49
- Outlier tests: forget it! Ohlbe 2010-01-19 21:00
- Outlier tests: forget it! Helmut 2010-01-19 19:16
- Outlier tests: forget it! Ohlbe 2010-01-19 19:00
- Outlier test - but not for QC's yuvrajkatkar 2010-01-19 08:49
- outliers test - but not for QCs! Helmut 2007-10-11 15:31
