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Looking at the percentiles we can see that for the stability-based reliabilities only the 25% smallest values were smaller than.71.
The data from triplicates out of five replicates from which the largest and the smallest values were excluded from the analysis are represented as the mean ± SD.
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Since the algorithm is recursive, it required M − 1 steps to find gcd(b, r0) and their smallest values are F'M+1 and F'M.
The LM method clearly found the best minima of the cost function, with smallest values being around 2 (Figure S2 in File S1).
However, for the consistency-based reliability estimates the 25% smallest values are smaller than.42, half of all values are smaller than.54 and 75% of all values are smaller than.67.
The difference in g between the largest and smallest values was 0.084 (41%) when each study was deleted.
Regarding the AUCW, smaller values were obtained as the point density was reduced, particularly when derived from the CHM.
Regarding PPVs, smaller values were observed in all secondary analyses, with a median absolute difference of 4.1% (IQR 2.9 5.4%).
Thus, it might be better if smaller values were to be assigned for parameters n and P a for this particular problem.
If subgroups were too small, values were labelled as 'not applicable'.
The smaller values were used for the data on 35 kPa.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com