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Translational studies using biomarkers in surrogate populations, such as schizotypy, could be used to assess the efficacy of novel compounds.
As the ancestral populations become more similar or the surrogate populations become more different from the true ancestral populations, the localized admixture signals become increasingly noisy.
Because our study is the first to directly contrast the Rhineland and Khazarian hypotheses, a caution is warranted in interpreting some of our results due to small sample sizes and availability of surrogate populations.
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The bootstrap method is based on the use of the original data to generate a surrogate population of samples, where the correlations contained in the original one are removed/destroyed.
The current study is limited by the use of surrogate population-based SES data for the study participants.
The current study is limited by the use of surrogate population-based SES data for the study participants; however, there are data that suggest that population and individual SES characteristics are similarly associated with CVD risk.
These safeguards include the "necessity" and "participant-condition" requirements, whereby the research cannot reasonably be performed in a non-vulnerable surrogate population and the participant must have the specific condition being investigated.
Moreover, such inference can still be performed (albeit with reduced power) when data are available from only the admixed population and one surrogate ancestral population, whereas all previous techniques require at least two such reference populations.
Since the surrogate parental populations chosen here are unlikely to represent the genetic variability present in the true parental populations, the resulting mY values merely describe the relative contribution of the surrogate parental populations to the admixed populations, not their absolute contributions.
For example, prediction 2 concerns population size, but body weight is used as a surrogate for population size.
However, there was no clear pattern in the performance of change in percentage cover as a surrogate for population trends.
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