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.
To date, few imaging studies have used multivariate pattern recognition analyses techniques to classify ADHD patients.
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.
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.
To date, metabolomics data have been limited to relatively standard statistical techniques including univariate analyses and multivariate analyses such as principal component analysis [ 1, 2].
We employed Mplus 5.21 to perform these multivariate analyses and used its full information maximum likelihood technique to account for missing data (Muthén and Muthén, 1998).
However, when included as covariates, neither the radiotherapy technique nor chemotherapy was independent prognostic factors in the multivariate analyses.
The content of Figure 1 was computed with proportional hazards regression technique using the same multivariate analysis model as for the multivariate analyses.
Multivariate analyses were performed using logistic regression.
