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In this paper, we are focusing on exploring the impact of linear regression based statistical analysis of observed civil data sets that can be used to identify the eqation to improve the efficiency and effectiveness of future data collection and further refinement of activities in various civil engineering applications.
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In this work, single-event-based statistical analysis of the characteristics of the ESWs around magnetic null-pairs is performed.
We further perform single-event-based statistical analysis of the characteristics of the ESWs around magnetic null-pairs.
The validity domain of voxel-based statistical analysis of SPECT neuroactivation studies with statistical parametric mapping (SPM) has been investigated by a limited number of theoretical and simulation studies.
A pooled correlation method was applied to within-array replicate spots, a linear model was fit to the data, and empirical Bayes-based statistical analysis of differential expression was performed (employing Benjamini & Hochberg multiple testing correction) using the limma package from Bioconductor [83], [84], [85].
Several areas remain for further refinement of our implementation of pooling-based statistical analysis of microarray data.
SC designed the study, participated in its coordination, performed gene-based statistical analysis of microarray data, statistical analysis of in-situ hybridization data, and made major contributions to the manuscript.
Furthermore the study is limited to a network-based statistical analysis of the frontal-parietal-striatal network and was therefore unable to address the selective vulnerability of rich club brain regions or global changes in the brain network as we have done in this work.
However, a detailed comparison with this previous study, is difficult since Pascual and colleagues used visual analysis of individual PET scans and provided single PET sections of 14 patients without indication of scaling, whereas we performed a more objective voxel-based statistical analysis of grouped data in comparison to normal controls.
There are 2 types of evaluation of the uncertainty of measurements: type A based on statistical analysis of measured values and type B based on other means such as certified references, authoritative published values, or personal experience.
In 2009, Google published a research paper that explored the potential of early detection of flu epidemics based on statistical analysis of web search logs, though the results of that effort ultimately fell short of what had been hoped.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com