Sentence examples for multivariate prediction analysis from inspiring English sources
A description of demographic and clinical variables was performed, bivariate analysis with mortality and early death defined as death within 24 hours of onset of CRRT, and finally we proceed to perform a multivariate prediction analysis.
If another parameter that correlates well to renal function could be found independently from the stereological parameters, a multivariate prediction analysis hereby could be performed, and precise predictions would perhaps be possible.
Baseline characteristics that are strongly associated (p < 0.10), will be entered into a backwards stepwise logistic regression analysis to produce multivariate prediction models.
A multivariate linear regression model was applied for the prediction analysis.
Using multivariate analysis, prediction of outcome (favorable versus unfavorable) was accurately achieved in 85% of cases when combining EEG variables with neuroimaging and clinical findings.
Multivariate analysis for prediction of invasive adenocarcinoma among clinical Stage IA patients.
In the present study we aimed to combine 2-DE profiles on the same study groups, with multivariate data analysis for prediction model building and identification of potential tumor markers.
By including these factors and serum cortisol into a logistic multivariate regression analysis, significant independent prediction of critical pneumonia was seen only for cortisol (OR 1.78 per IQR-increase, p = 0.001) and the three CRB-factors (confusion: OR 5.7, p < 0.001; respiratory rate: OR 1.1, p < 0.001; blood pressure OR 1.02, p = 0.026).
Relative to traditional univariate methods, multivariate pattern analysis (MVPA) allows predictions individually and it takes the patterns of information that might be presented across multiple variables into account, therefore providing results that have higher translational applicability in clinical practice [ 8].
As a simplified approach to optimize the production of formaldehyde from partial oxidation of methane, this paper illustrates the application of statistical multivariate analysis and prediction through a multi-regression model, as well as the optimization of the processing parameters in the complex reaction process.
