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The measurement model of SEM discloses the relationships between a factor and its indicator variables.
A value that is positive predicts the efficacy of advocating optimization because of the effect of synergy, while a value that is negative is expressed as the opposite effect of an inverse link between a factor and its response.
Widespread but elusive multifactor interactions usually result in a weak marginal correlation between a factor and the phenotype, posing a significant challenge in identification of the risk factors for complex diseases.
*2Pinteraction was calculated as interaction effect between a factor and smoking on the risk of TP53-mutations in a tumor.
Odds ratio with 95% CI was used to assess the association between a factor and an outcome variable.
A p-value <0.05 indicates a statistically significant association between a factor and a concordant decision about whether or not SMT is indicated.
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gene environment correlation is expressed as the correlation between A and C factors and between D and C factors, and gene environment interaction is the interaction between one of the genetic factors and one of the environmental factors.
Nodes can be connected by two types of arcs; positive arcs are green and represent a positive influence between a factor node and a program node, and negative arcs are red and represent a negative influence between a factor node and a program node.
RR and OR can be used to assess the association between a risk factor and a disease, or between a treatment and its success.
There often exists a "one-to-many" relationship between a transcription factor and a multitude of binding sites throughout the genome.
How is C-reactive protein different from other risk factors like cholesterol? A. In our report, we made great care to differentiate between a risk factor and a risk marker.
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Justyna Jupowicz-Kozak
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