The phrase "affect the measuring of" is correct and usable in written English.
It can be used when discussing how certain factors influence the process of measurement in various contexts, such as scientific experiments or data collection.
Example: "Environmental conditions can significantly affect the measuring of temperature in the experiment."
Alternatives: "influence the measurement of" or "impact the assessment of".
With the follow-up analysis, we showed no difference between the earlier and later trial means which suggests that fatigue, if present, did not affect the measures of interest.
This will mainly affect the measures of preference regarding diagnosis of cognitive impairment and measures of mental health.
Such a reduction did not affect the measure of FI at the HH level, since all the household-related questions were still asked in the order determined by the USDA [ 27].
A significant change in cell's ability to multiply and divide due to exposure to benzyl-α-GalNAc would affect the measure of MUC1's role in our experiment.
Recent work shows that LINE-1 retrotransposition can occur in a tissue-specific fashion (Muotri et al. 2010), although whether this would be sufficient to affect the measure of LINE-1 DNA methylation overall is not known.
These parameters significantly affect the measuring performance of the coil in terms of its sensitivity and bandwidth.
But this increase in number of risk alleles had no effect on BMI (Figure 1C), fasting blood glucose (Figure 1D) or HBA1c (Figure 1E) indicating that the increase in the susceptibility of type 2 diabetes is modulated through some other pathway most probably by affecting the measure of insulin resistance.
Matches to negation terms were controlled through the use of regular expression patterns, to both increase and decrease the appropriate word distances for particular terms which affected the measures of accuracy of the algorithm.
Type of parameter (variant versus invariant), instead, systematically affected the measure of reliability; anyway, even if invariant parameters showed greater reliability, variant parameters had reliability values considered almost good.
