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To maintain statistical significance, variables with less than 0.55 coefficient loading (equal to 30.25 % of the variance accounted for by the factor) are suppressed.
The presence of proteins from different kinase pathways (p38, ERK and ANT) as significance variables further suggested that only systems-level view can accurately model mapping functions in signaling networks.
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The contour plots are also obtained in order to determine the significance of variables interaction.
Plackett Burman statistical design was used to evaluate significance of variables.
It helps in evaluating the relative significance of variables that influence the process [40].
RSM generates empirical model in term of coded factors which reflects the interaction and significance of variables towards response.
For this purpose statistical significance of variables associated with low birth weight was computed.
The significance of variables was tested using maximum likelihood tests.
Significance of variables was determined by univariate Cox regression analysis.
Overall significance of variables was assessed using Wald tests.
Note that empthy cells indicate no significance between variables.
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