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There were also no significant interactions between terms, specifically between medications, laboratory data or dialysis modality in patients with preexisting coronary heart disease.
A multiple linear regression model for the transformed acrylamide data was then fitted, using the method of stepwise forward selection of most significant (P < 0.05, F-test) explanatory variables, then factors and finally interactions between terms already in the model.
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There were no significant interactions between term placenta PHLDA2 mRNA levels and sex for any maternal anthropometric outcomes.
REML, residual maximum likelihood; x, represents an interaction between terms.
Importantly, we never observe an interaction between term and any of our variables of interest (e.g., gender).
The number of equations and their complexity affects both calculation times and multiple interactions between different terms.
The model was then screened for interactions between these terms.
Interactions between all terms in each model were also fitted.
Figure 16 Interaction between long-term and short-term Problems.
Interaction between short-term and long-term mortality displacement.
The likelihood ratio test was used to detect interaction between the terms used in multivariate analyses.
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