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The likelihood ratio test was used to detect interaction between the terms used in multivariate analyses.
The template data consists of three to four consistent elements and then some variant data that is used in multivariate testing.
We also discuss the diverse analytical strategies used in these studies, including univariate and multivariate analysis, meta-analysis, pathway analysis, and interaction and network analysis.
We also reviewed a variety of analytical strategies used in these studies, including univariate and multivariate analysis, meta-analysis, pathway analysis, and interaction and network analysis.
Multivariate hazard ratio used in analysis.
A multivariate approach was applied to exclude interactions between the variables used in the univariate analysis.
In other areas of research, Information Theory has been used to quantitatively describe similar multivariate interactions.
Multivariate interaction analysis demonstrated a difference in tamoxifen efficacy relative to HMG-CoAR expression (P = 0.05).
In multivariate analysis using interaction terms we found no evidence that the seasonal variability was different for patients of different ages (p = 0.51), deprivation (p = 0.56) or region (p = 0.56).
Multivariate prognostic analyses used multivariate Cox regression test in a forward step wise manner [ 19].
Multivariate logistic regression modelling was used and significant interactions were included in the model with a P-value <0.10 as the threshold.
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