Calibration model [Bioanalytics]
Dear Geokad,
a few comments adding to Martin's.
Since you posted in the 'Bioanalytics' category, I guess you are rather interested in calibration, which in specialized statistical textbooks (e.g. Draper & Smith) is called 'inverse regression'. Apart from statistical tools (e.g., running an F-test on the 'full model' = quadratic vs the 'reduced model' = linear) mostly the distribution of residuals (no trend, no funnel shape, etc.) and accuracy/precision of back-calculated calibrators and QC-samples are used. Cave: although often seen, the coefficient of determination R2 or the coefficient of correlation R are useless in model selection.
a few comments adding to Martin's.
Since you posted in the 'Bioanalytics' category, I guess you are rather interested in calibration, which in specialized statistical textbooks (e.g. Draper & Smith) is called 'inverse regression'. Apart from statistical tools (e.g., running an F-test on the 'full model' = quadratic vs the 'reduced model' = linear) mostly the distribution of residuals (no trend, no funnel shape, etc.) and accuracy/precision of back-calculated calibrators and QC-samples are used. Cave: although often seen, the coefficient of determination R2 or the coefficient of correlation R are useless in model selection.

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Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
