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The lack of consistency between studies could be related to the absence of controlling for social marginalization predictors in adulthood and the use of different methodologies.
Thus, the variations observed between studies could be the result of methodological differences.
As explained in this report, potential differences between studies could be explained by slightly differences in isolation protocols.
This type of differences between studies could be also attributed to genetic as well as environmental factors.
One explanation for the discrepancies between studies could be that birth order is an insufficient proxy for infections in infancy in some settings but adequate in others.
The slight difference observed between studies could be explained by methodological differences.
Similar(32)
The discrepancies between these studies could be due to discordance between mitochondrial and nuclear gene phylogenies or sampling from different parts of the distribution (e.g., if the allozyme samples were from zones of intergradation).
The discrepancy between our studies could be caused by variances in antibiotic prescription practices between countries or by our approach of adjusting for shared factors within families.
The differences between these studies could be due to the sociocultural characteristics of the countries.
Some discrepancies found between these studies could be explained by factors such as history of cannabis use, routes of administration, dose ranges, or study designs (e.g. treatment blinding).
By including this covariate, the study-to-study random effects variance declined from.03 (model 0) to.016 (model 1), i.e., 46.6% of the variance between the studies could be explained by the number of manuscripts.
More suggestions(15)
between papers could be
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between fields could be
between buildings could be
between subjects could be
between enolases could be
between nozzles could be
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between cells could be
between monomers could be
between people could be
between conditions could be
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between nodes could be
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