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Calculating partial rank correlation coefficients, τ p, provides further evidence for this: correcting for expression reduces the correlation between the evolutionary rate R (or any of the individual rates) and the number of interactions, as is apparent from figure 3.
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This corrects for small sample bias.
This corrects for differences in urine concentration that affects the results for random specimens.
This corrects for trigger variations, crystal differences, and for photomultiplier (PMT) timing differences.
This corrects for the effect that multiple tests has on the tested t value (Dielman [2005]).
This corrects for the fact that some sites had slightly lower bacterial phylogenetic diversity.
This corrects for non-random selection of the sequences given to the alignment program.
But while this corrects for the geographic size differences between states, it's not a huge improvement over the original map.
This corrects for sample inhomogeneity and variability of detection.
This corrects for the effects of emission crosstalk.
This corrected for differences in cell density between wells.
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CEO of Professional Science Editing for Scientists @ prosciediting.com