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To identify potential outliers to this expectation, we compared the frequency distributions of the European and Turkish populations and identified 7 SNPs displaying the highest frequency differences between these populations.
To test this expectation, we compared the situation of a genome with 5 chromosomes with N = 500 G2t individuals, to 10 chromosomes with N = 1000, and to 20 chromosomes with N = 2000.
To explore this expectation, we compared the biases resulting from the analysis of the coding vs. CR segments in the same mtDNA molecule genealogy in our herring data: the critique of herring time estimates by Grant et al.[ 18] primarily concerned CR estimates.
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To test our expectations we compared the score change between tests of initially high and low-scoring students as a proxy for an increase or decrease in study effort.
In order to investigate whether observations differ from random expectations, we have compared the allometric scaling found here with the prediction of a null model [29], the Equal-rates Markov (ERM) model.
Therefore, and following this theory, in order to take positions in the assets of the Spanish bond market, we compare the expectations of market agents for the future yield curve (1 year, 1 month) reflected in the forward curve, with the predictions of our econometric models.
Synonymous site substitutions typically most closely meet the neutral expectation, so we compared nonsynonymous sites to synonymous sites.
Part of the motivation for the countries we compare is the expectation that all these arguments should apply in some contexts more than others.
We compared this expectation with experimental results.
However, patients scored systematically lower on the Expectation WOMAC compared to the Dutch Expectation Surveys.
However, a systematic bias was found; patients scored systematically lower on the Expectation WOMAC compared to the Dutch Expectations Surveys.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com