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Currents greater than 0.1 nA after subtraction were included in the analysis, and commonly represent around 80% of all cells recorded from.
4. Research shows that current methodologies (such as Life-cycle Analysis) and commonly used metrics (such as water footprint rather than water use impacts) do not apply well to livestock agriculture.
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We review the principles of statistical significance, power, and meta-analysis, and commonly used effect sizes.
LCA focuses on process and system analysis and so commonly examines the timeframe of construction, operation and decommissioning of a process plant, with individual changes within this period assumed to offset each other.
For example, linear projection algorithms such as SVD, PCA, ICA, or factor analysis and less commonly applied nonlinear methods such as non-negative matrix factorization (NMF) can be utilized in mapping and assessing differential behavior across large-scale genomic data [ 6- 11].
The GEV was found to be the most adequate distribution for this analysis, and the commonly-used Gumbel distribution, although indicated a good fit to the annual maxima series, attributed an extremely low probability for the occurrence of this event.
The fixed SUV threshold of 2.5 was chosen because it was recommended as an appropriate criterion in a recent meta-analysis, and is commonly used and associated with prognostic outcome [ 9].
The work presented here was a straightforward evaluation of buccal mucosa as a tissue useful for evaluating relative gene expression changes using an analysis scheme containing well validated and commonly used analysis tools.
This approach is called a Time Domain Analysis and is most commonly used in the clinical interpretation of HRV.
The methodology relies on a combination of linear regression analysis and geostatistical methods commonly referred to as regression kriging [20, 21].
Subgroup analysis and metaregression are commonly used to assess or improve trial similarity for adjusted indirect comparison (see bmj.com).
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