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Nonparametric multivariate analysis provided a characterization of relationships among variables.
The models developed by NIR in association with multivariate analysis provided good prediction of the APIs for the external samples and were therefore validated.
Furthermore, multivariate analysis provided insight in the independent risk factors for prevalent HPV infection.
A multivariate analysis provided a comparative measure for the variance between records of individual plots.
[ 10, 23, 40, 44, 50] Multivariate analysis provided additional insight into the basic dimensions or clusters of motives.
Multivariate analysis provided evidence that anti-HEV IgG prevalence increases by 4% per year of participants' age (95% CI 1% to 7%, p=0.002).
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In subsequent analysis, we present not only descriptive evidence on how multiple job holding differs among various worker groups but also multivariate analysis providing evidence on how worker, job, and location attributes are associated with holding multiple jobs.
The multivariate analysis provides us with additional information on the mechanisms by which serum AFP might be associated with treatment response.
The multivariate analysis provides some useful insights.
The multivariate analysis provides a more precise estimate of the treatment effect, given that it adjusts for known prognostic variables.
This significant predictive value was upheld for CRS history and originating subsite on multivariate analysis, providing not only clues on how to predict papilloma subtype but a proposed diagnostic algorithm (Fig. 4).
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