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Potential cultural differences (that is, outside the US) were not able to be accounted for; neither were potential differences among different age groups: those most attuned to their appearance are, arguably, people of college-student age.
Although this approach is semi-quantitative, we applied this tool to identify potential differences among samples with different clinical presentations that can be further evaluated using accurate quantitative methods like ELISA.
We tested the extent to which the choice of this evolutionary model is robust to potential differences among models tested (e. g. different numbers of parameters, etc).
This result suggests that the relative composition of the whole sample with respect to the different oligomeric forms is responsible for its agglutination activity and not potential differences among the oligomeric forms within a particular fraction.
Potential differences among the three gear variants were assessed by a two-step mixed effects model.
Our data demonstrate intrinsic developmental potential differences among ESC-derived precursor populations.
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To examine potential differences in adaptation among the treatments with different ancestors we first conducted a two-factor ANOVA with interaction on the relative fitness data, where ancestor and treatment were the main effects.
We also accounted for potential differences in difficulty among the various questions administered.
More research is needed to investigate potential differences in susceptibility among racial and ethnic population subgroups.
*With correction for potential differences in outcomes among non-responders and controls.
We then further dissect repeat length heterozygosity, focusing on potential differences in heterozygosity among specific motif types.
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