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Correlation between parameters was performed by non-parametic Spearman rank test.
Figure 9 Correlations between parameters.
Pearson's rank correlation was used to establish relationships between parameters.
Secondly, the sensitivity between parameters is presented in Fig. 4.
The convergence provides corroboration of the main correlations between parameters.
Linear regression analysis was used to investigate correlations between parameters.
Associations between parameters were tested by partial correlation analysis (Pearson's).
Initial simple models that rely on simulated data nonetheless provide insight into qualitative relationships between parameters.
The Spearman Rank Test was used to determine correlations between parameters.
Simple linear regression models were used for correlation analysis between parameters.
We assumed no (prior) correlation between parameters.
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