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In this data we will look for predictors of antibiotic prescribing, speed of clinical recovery, parental concern, parental perception of communication, parental satisfaction, use of medication, diagnostic tests and medical services (including re-consultation) during the illness episode using multivariate analysing techniques.
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In case of unequal distributions of demographic variables between the two treatment groups, multivariate analyses techniques will be used to correct for these differences.
Hadi Hosseini is a computational/cognitive neuroscientist investigating large-scale structural and functional brain networks in various neurological and psychiatric conditions using multimodal neuroimaging, graph theoretical and multivariate pattern analyses techniques.
One outstanding example was the introduction of advanced techniques — the so-called multivariate analyses, or MVA, techniques — into the standard analysis.
To date, few imaging studies have used multivariate pattern recognition analyses techniques to classify ADHD patients.
Predictors of retirement among men were analyzed using data from seven longitudinal studies, multiple definitions of retirement, multivariate analyses, and unbiased statistical techniques.
It would nevertheless be interesting in the future to test for genetic correlations among alternative measures of body composition, and to perform multivariate analyses if the statistical techniques are developed.
But we conducted multivariate analyses accounting for RT technique and chemotherapy regimens.
For this purpose, spectrophotometric data have been analysed by multivariate analysis techniques such as Principal Component Analysis and Hierarchic Cluster Analysis.
Data have been analysed by multivariate analysis techniques such as Principal Component Analysis (PCA) and Hierarchic Cluster Analysis (HCA) with the attempt to better study and understand the colour conditions of the surface before and after the cleaning.
Although a basic multivariate analysis of our preliminary data does not yet provide high enough sensitivities and specificities (> 70%) for clinically relevant detection and differentiation of all five pathology categories (specifically for benign pathologies), refinement of the measurement technique and multivariate analyses of larger, more comprehensive data sets may improve these capabilities.
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