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Based on spatial error analyses, we evaluate the use of the distributed hydrologic model to identify sampling sites that represent the hillslope behavior and minimize the sensitivity to model resolution.
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In addition to the univariate analyses, we evaluated the alteration in the cortical currents using the decoding method (multivariate analysis).
Using multivariate analyses, we evaluated the roles of landscape position and human development in the presence, composition, and abundance of freshwater macrophyte communities among 60 study lakes located in Vilas County, Wisconsin.
In supplementary adjusted analyses, we evaluated the influence of headache status in HUNT 2 and HUNT 3 on the odds of having insomnia in HUNT 3. The statistical analyses were performed with the Predictive Analytics Software (PASW), Statistics version 17.0 by Inc., an IBM Company (Chicago, IL, USA).
In supplementary analyses, we evaluated the influence of headache status in HUNT 2 and HUNT 3 on the odds of being fRA in HUNT 3. Statistical analyses were performed with the Predictive Analytics SoftWare PASW Statisticscs version 17.0 by SPSS inc., an IBM Company (Chicago, IL).
Using whole genome expression analyses we evaluated the transcriptional response to Si availability for the model species Phaeodactylum tricornutum.
Using univariate and multivariate logistic regression analyses we evaluated the association between location (Africa versus North America) and these domains.
In independent analyses, we evaluated the impact of species diversity on deer mouse density, as well as the effect of species diversity on the persistence of deer mice.
In additional sensitivity analyses, we evaluated the association of funding levels with worldwide disease burden in 2004, and with projections for 2015 and 2030 for both the US and worldwide [30].
In order to standardize the analyses, we evaluated the degree of completeness of the inventories for each site as the percentage of observed species with respect to the number of species predicted by Chao1, a nonparametric estimator of species richness based on species abundance that takes the rare species in the sample (≤2 individuals) into account [36].
For each of our five ABC analyses, we evaluated the ability of the methodology to correctly select the true scenario by analyzing test data sets simulated from the various competing scenarios with the same number of loci and individuals as in the real data set.
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CEO of Professional Science Editing for Scientists @ prosciediting.com