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There remain many statistical challenges in analysis of functional connectivity and network architecture from BOLD fMRI multivariate time series.
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There are many computational and statistical challenges associated with the analysis of big data related to the number of patients, number of variables per patient, and the quality and technical complexity of the databases (Monteith et al. 2015; Fan et al. 2014; Grimes and Schulz 2002).
High-dimensional datasets provide many mathematical and statistical challenges, as well as some opportunities, and will likely lead to novel theoretical developments.
C&RT is one of many statistical tools that can be used to address the challenge of multipollutant exposures.
Many statistical approaches already exist.
Combining such disparate data creates statistical challenges.
Some statistical challenges.
In the meantime, it also presents an even bigger statistical challenge since many more mutations need to be analyzed.
While many studies have considered this question, commonly employed methodologies fail to address the unique statistical challenge of modeling modes with small mode shares.
So what will it take to step up to this statistical challenge?
(2013) with a statistical challenge.
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