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A Spearman rank correlation test is also performed for all 9 variables.10 Indeed, the index is computed by the multivariate approach of factor analysis and using the correlations between variables in order to determine the underlying factor representing financial capability (see Taylor et al. 2011).
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In such a landscape, multivariate statistical analysis has been used to differentiate among the main hydrochemical processes occurring in the area, using three different approaches of factor analysis: (i) major elements, (ii) trace elements, (iii) both major and trace elements.
To compare the dissolution profiles of the different generics versus the brand, a model independent approach of difference factor (f1) and similarity factor (f2) was employed.
With our approach of using factor analysis and latent class analysis, we were able to identify the grouping of symptoms and their variation through midlife.
Furthermore, the dependence of this geometrical approach on factors such as heart rate, scatter, extra-cardiac activity and image reconstruction needs to be established.
Considering the multidisciplinary approach of all factors potentially influencing the malaria status of newborn babies, this study should bring evidence on the implication of placental malaria in the occurrence of first malaria infections in infants.
The aim of our study was to identify those HDPs who would benefit from TB chemoprophylaxis, using a combine approach of risk factors and common screening methods, like TST and chest X-ray.
A further study would be required to establish the efficacy and desirability of this approach since comparison of factor derived scores would need to be compared against a gold standard such as a formal structured clinical interview schedule.
Four scales of acculturation strategies were created in combination with the bi-dimensional approach of acculturation by factor analysis.
The statistical approach of combining multiple factor analysis with cluster analysis showed its relevance for the detection of syndromes using available large and complex slaughterhouse data.
This approach of holding many factors constant, and making small, incremental changes in a small number of factors is described as local optimization.
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