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In applying STXMPy to analysis of biological samples, it will be important to consider statistical ramifications of experimental design.
This failure to replicate has been attributed to a number of factors, including chance observations due to small sample size, concerns about study quality and transparency in reporting, lack of robustness or generalization of the original findings, and publication bias [see Brunner et al. for a discussion of statistical ramifications associated with publication bias (Brunner et al., 2012)].
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In this paper, different approaches are employed to study the ramifications of various statistical and geostatistical parameters (i.e. mean and variance, vertical and horizontal correlation lengths and covariance function types) on the well-test results.
While tentative, this result lends insight into how intuitive theories might develop and also has potential ramifications for how statistical concepts such as correlation might best be learned and internalized.
In particular, the accuracy of the prediction of velocity and wind direction and their statistical deviations are dealt with and design ramifications are discussed.
So as researchers develop new technologies and new statistical tools for genomics research, and for inferring the ramifications of the data they uncover, they also need to find new ways to approach the limits of their own understanding.
In the context of our survey, we discuss some of the statistical issues that arise when dealing with HSCT endpoints and the ramifications of the choice of endpoint definition, when the endpoint occurs in the context of competing risks.
The precise formulation of derivation for tree-adjoining grammars has important ramifications for a wide variety of uses of the formalism, from syntactic analysis to semantic interpretation and statistical language modeling.
Their ramifications are discussed.
The unrest has broad ramifications.
The ramifications could be stark.
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CEO of Professional Science Editing for Scientists @ prosciediting.com