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The objective of this study is to better understand the relationship between neuroradiologic and clinical characteristics in holoprosencephaly (HPE) using the multivariate analysis called factor analysis.
Furthermore, the conversion was tracked quantitatively with both spectroscopic methods using the multivariate analysis method, partial least squares regression.
However, we adjusted the possible influence of different agents by using the multivariate analysis.
Data were further analyzed using the multivariate analysis of variance (MANOVA), followed by the analysis of variance (ANOVA) and post hoc comparisons when significant differences were found.
As the group not satisfying the age criterion had significantly better preoperative function scores, adjustment of their confounding effects was performed using the multivariate analysis of covariance (MANCOVA).
It has been reported that by implementing EDXRD, even at short acquisition times leading to a total of 200 photon counts, a system can still distinguish between drugs, explosives and other arbitrary objects using the multivariate analysis technique (Speller 2001).
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Tables 1 and 2 show the results for the constrained sensitivity, specificity, and likelihood ratios using the multivariate meta-analysis.
Next, we performed the multivariate analysis using the multivariate Cox proportional hazard model.
**The prior use of antimicrobial agents was considered independently of the antimicrobial class used, for the multivariate analysis.
Logistic regression was used for the multivariate analysis.
Every covariate associated with a p-value lower than 0.20 in the univariate analysis were used in the multivariate analysis.
More suggestions(15)
using the multivariate interpolation
using the multivariate form
using the qualitative analysis
using the multivariate regression
using the multivariate membership
using the Functional analysis
using the modal analysis
using the multivariate imputation
using the content analysis
using the multivariate test
using the same analysis
using the multivariate nutrient-density
using the multivariate probability
using the multivariate optimization
using the multivariate curve
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