Sentence examples for multiple statistical methods from inspiring English sources
The findings were internally consistent and statistically significant using multiple statistical methods as noted.
This counterintuitive finding is reinforced by multiple statistical methods and suggests that contact by a political campaign may engender a backlash.
Multiple statistical methods were employed to identify factors leading to support of wind turbines within the community, but support was so high that no individual factors were identified as statistically significant.
We applied a sampling design that minimizes the chance of bias in detections and counts, included multiple statistical methods to test relationships, and incorporated past research and species' biology when interpreting findings.
The difference in predictivity of multiple statistical methods and descriptors between pharmaceutically relevant data and literature compilations is analyzed firstly for aryl-amines and then for sets containing all substructures.
A more recent approach, namely meta-analysis, looks for common signatures across multiple independent datasets by combining multiple statistical methods including simple t-test, FDR, and cross-validation into a single result [18].
The importance of using multiple statistical analysis methods in each paper and the difference in how the timing of the air pollution/outcome association may impact which of these design features is most important is also discussed.
Our analysis is particularly reliable because we apply multiple robust statistical methods of tree reconstruction and include roughly 10-fold denser sampling of LHCs from Chl c-containing taxa and related species.
To assess the direct contribution of mutation patterns to NVP and EFV, we analyzed the IC50 data of NVP and EFV in Table 1 with multiple testing statistical methods.
Since most complex diseases such as cancer are believed to be associated with the activities of multiple pathways, new statistical methods are required to select multiple pathways simultaneously with the time-to-event phenotypes.
Multiple comparisons statistical method was used to assess the significance of differences in IC50 values between any two viruses, and Kruskal-Wallis method was used to correct the testing.
