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Big data analytics procedures may contribute to preserving the usage of processing and storage resources, scalability of systems, and improved productivity.
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However, our ability to extract a simple conceptual understanding from complex data is increasingly hampered by the lack of theoretically principled data analytic procedures, as well as theoretical frameworks for how circuit connectivity and dynamics can conspire to generate emergent behavioral and cognitive functions.
The analyses was undertaken by SC using standard treatment research data analytic procedures.
The statistical analysis was undertaken by HAD using standard treatment research data analytic procedures.
The trial selection, data extraction, quality assessment and data analytic procedures outlined in the 2011 Cochrane Handbook were involved.
Tabulations, equity analysis, testing of means and non-parametric tests were the major data analytic procedures that were used.
Based on data analytic procedures for multilevel models (Bauer & Curran, 2005; Preacher, Curran, & Bauer, 2006), we examined simple slopes.
Sophisticated data analytic procedures taking into account both the longitudinal nature of the data and the potential for missing data points due to attrition, will be employed.
We recently made the case for transporting the practical clinical trials model to psychiatry, defining requirements for stable funding for network construction and maintenance plus methodological innovation in assessment, treatment, data management, site management, and data analytic procedures.
In contrast, the strengths of the study include a diverse community-based sample with high rates of participation and retention, and the use of sophisticated data analytic procedures that permit maximum flexibility and power in analyzing both cross-sectional and longitudinal data.
Whether this reflects diversity in pathophysiology or heterogeneity of imaging techniques and data-analytic procedures is still unknown.
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