Arbitrary (and unjustified) cut-off of r² [RSABE / ABEL]

posted by FI – Austria, 2012-10-08 12:39 (4636 d 19:36 ago) – Posting: # 9332
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Dear Helmut,

❝ In other words, an \(\small{r^2}\) of 0.6486 from five data points denotes the same ‘quality of fit’ than an \(\small{r^2}\) of 0.9755 from three. Searching the forum I get the impression that you (AB) are not alone with a cut-off of 0.80. Justification: nil.

❝ BTW, visual inspection of fits is mandatory... Don’t trust in numbers alone. A classical example is Anscombe’s quartet.2


Small add-on: adj. r² method could be misleading in "the more (datapoints) the better"! Considering the PK of Azithromycin, "the less the better" could be considered, because there are (at least?) 3 elimination phases for Azi (uptake into white blood cells, rapid distribution into tissue... would resemble Anscombe2), and a very long t1/2, depending (!) on the timepoints used for calculation. As terminal elimination needs to be calculated and the adj r² method from previous study took mostly 3 to 5 points, but sometimes also 12 (!), should the timepoints be limited (to 4 to 3), to reflect PK? What if one concentration looks to be an analytical mistake (?), that confounds t1/2 in such a way that the slope increases...? Where to put the cut-off for adj r²?

Thanks a lot in advance
FI

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