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Exact(18)
The global infection rate was 25.4%% (31 patients) and there was no statistical association between the variables studied.
We note well, after this correlation matrix of explanatory variables, that there is no problem of multicollinearity between the variables studied.
Design descriptive cross-sectional quantitative character used by a relational study to analyze the degree of dependence between the variables studied.
However, future research can complement these suggestions by conducting longitudinal or even experimental studies in the domain, which could more clearly indicate the precise causal relationship between the variables studied here.
Research designs are grouped into descriptive research and verification to analyze the causal relationship between the variables studied while processing the data using descriptive analysis techniques and testing hypotheses with PLS (Partial Least Square).
Further, we perform a correlation analysis between the variables studied.
Similar(42)
There were no significant differences in any of the variables studied between control and intervention groups.
Pearson correlation coefficients were calculated to evaluate the association between the time trends of the variables studied.
From the previous research, 21 there are indications that even if prevalence estimates are not accurate, the associations between the variables studies are not necessarily biased.
First, to compare between the three variables studied here, we performed the following normalization transformation: X t) = frac{{x t) - bar{x}}}{{sigma_{x} }}.
However, we could not demonstrate any correlation between the EGFR variables studied and macrophage distribution.
More suggestions(13)
between the parameters studied
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between the determinants studied
between the settings studied
between the councils studied
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between the populations studied
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between the species studied
between the variables was
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