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Comparison of glucometrics between studies using different IIPs is difficult due to differences in population, target glycemia, and frequency of glucose monitoring.
However, these results may be considered less valid as the analysis was based on cross-sectional data of prevalence (and not incidence) of a diagnosis of pediatric bipolar disorder and a comparison between studies using different diagnostic methods.
As controversy still exists over the exact definition of circulating EPCs, comparison between studies using different technique to assess EPC must be considered.
This is problematic when attempting to compare results between studies using different accelerometers, or using the same accelerometers, but different criteria for activity counts.
Although usually the network size is fixed within a single experiment, it does complicate the comparison between studies using different data sources.
These circumstances make comparisons between studies using different criteria difficult.
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The organization of genetic diversity obtained with EST-SSR is in agreement with the knowledge of the genetic relationships between Citrus species previously reported by studies using different markers for systematic analyses: morpho-physiological characters [ 47], biochemistry [ 48], isozymes [ 49, 50], genomic SSR markers [ 13, 14], CAPS markers [ 51], or RFLP and RAPD markers [ 52].
More systematic investigations on the interplay between the involved timescales, as well as studies using different epidemic models on the same datasets would be of strong interest for future research [ 54].
Although a few studies using measures that were not originally designed for stroke patients [ 11] have recorded no difference [ 15, 16] in HRQOL between stroke patients and normative population, several studies using different measures have recorded worse performance by stroke patients in the limited number of domains assessed by them [ 2, 4, 18].
Different studies use different cutpoints between 2 and 4 to define a case of common mental disorder.
Different studies uses different outcome measures making comparison between trials problematic.
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