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EGDT endpoints (central venous pressure 8 to 12 mmHg, mean arterial pressure ≥65 mmHg, and ScvO2 ≥70%) can well be achieved in an emergency department setting, suggesting that a multifactor approach is a useful strategy in the treatment of sepsis [ 74- 80].
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The other commonly used approach is the multifactor dimensionality reduction (MDR) method, which uses non-parametric methods and is most efficiently used with case control data.
In conclusion: in all over the design of the device a multifactor approach would be adopted: a right combination of alloy composition, "surface shape", lubricant oil and alloy grains dimension, should be considered to avoid failures.
EdgeR [ 8] and DESeq [ 9], have recently enabled multifactor comparison performed using a generalized linear model, but, as pointed out in a recent review [ 2], this kind of approach is independent from the order of the time points, thus ignoring the overall dynamics.
A multifactor dimensionality reduction (MDR) approach was used to analyze the interactions between SNPs and environmental factors that might contribute to cancer risk [12].
New methods explore a multifactor approach that combine different kinds of genomic data, sometimes referred to as "integrative genomics" or "genomic convergence", in which a multistep procedure is used to identify potential key drivers of complex traits that integrate DNA variation and gene expression data.
An analytical approach that does not investigate complex multifactor effects is likely to be ineffective in explaining the onset of most common diseases.
Multifactor dimensionality reduction is a nonparametric approach while logistic regression is parametric.
Led by the retail banking sector, multifactor identification is rapidly becoming industry standard.
However, the multifactor model is too complex for application.
Next, the high/low risk in each multifactor class is determined.
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