The phrase "any variation between" is correct and usable in written English.
It can be used when discussing differences or discrepancies between two or more items, concepts, or data points.
Example: "We need to analyze any variation between the test results to determine the effectiveness of the new drug."
Alternatives: "any difference between" or "any discrepancy between".
The authors also assume that any variation between a firm's wage rises and the national average is a cost, whereas a firm that gets away with offering lower wage rises may be better off.
There was hardly any variation between the three treatments studied.
We begin by looking at whether there is any variation between weekdays, where the majority of work occurs, and the weekend.
They found that any variation between the two species is due to intraspecific variation, meaning that they are not distinct species.
Sex was included as an explanatory variable to control for any variation between sexes.
For example, PCR RFLP, REP-PCR, ERIC-PCR, and PFGE have failed to reveal any variation between B. quintana isolates [12], [13], and MST resolved 5 genotypes among 71 B. quintana isolates and 10 DNA extracts studied [15].
Finally, we noticed that basal epithelial cells' marker cytokeratin 14 mRNA levels did not present any variations between androgen-independent prostate cancer and BPH (except for sample C2 for which no information is available to allow an explanation for its non-detection).
PDQuest software matched the identical spots in a series of gels and normalized the gels to compensate for any variations between gels, especially those caused by varying experimental conditions.
Given the evidence suggesting different health outcomes for people with SMI compared to those with non-psychotic mental illness, it would be important to elucidate any variations between groups of people with different mental illness in how they perceive their general physical health and how health locus of control may contribute to these perceptions.
The closeness of the results suggests that any variations between the datasets in population characteristics, data definitions, data quality and completeness had only a very minimal impact on the key statistical outputs: the HRs and ORs that are the main parameters used to inform clinical and policy decision-making.
These features are examined for repeatability both within a single signature capture session and between multiple sessions with particular consideration for any performance variation between age groups.
