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The relationship between each relevant variable and radiation dose and time was determined.
The association between each relevant variable and the risk of death was assessed through univariate analysis.
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Bivariate analyses were also conducted to examine the relationship between the outcome variable and each relevant predictor variable.
They also suggest hypotheses concerning causal links between futures relevant variables.
It is also possible to inform the expert panel about causal links between futures relevant variables based on the past data.
Linear regression was used to observe the associations between the relevant variables in a multivariate environment.
Table 2 gives the significant first order correlations between the relevant variables of study characteristics.
In order to examine the connections between the two forms of aggression, age, happiness, defensiveness and psychopathology, we performed Pearson's Correlation coefficients between the relevant variables.
The first measure is calculated on the individual level and consists of taking, for each participant, the correlation between the two relevant variables (i.e., momentary and retrospective stress, or heart rate and momentary stress, or heart rate and retrospective stress).
In the event of high correlation (correlation coefficient ≥ 0.70) between variables, the most biologically relevant variable was selected.
Although Bayesian update methods have been used before, our approach more fully exploits the graphical structure of Bayes nets to define and explicitly model statistical dependencies between relevant variables: per sample measurements, such as match scores and corresponding quality estimates, and global decision variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com