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Gross domestic product (GDP) per capita is arguably the single most predictive determinant of health at the national level, yet such a measure fails to capture the complexity of wealth (and thus health) distribution within a population.
When a high correlation between two determinants is found, only the most predictive determinant in the univariate analyses will be included in the multiple regression models.
In the case of high correlation between 2 determinants only the most predictive determinant in the univariate analyses will be included in the multiple regression models.
Taking both patient populations into consideration and excluding those with unknown status of their MGMT promoter, the APOPTO-CELL model was more accurate as a predictive determinant of patient PFS times (62.5% (10/16) versus 81.25% (13/16)).
Here, we report that miR-204 is a predictive determinant of outcome in neuroblastoma, with lower than median expression levels in tumours at diagnosis significantly associated with poor EFS and overall survival (OS).
The health promotion and disease prevention literature has established the most predictive determinant of whether that individual performs a specific health behavior is that individual's behavioral intention (i.e., one's stated motivation to perform that specific action) [ 18].
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In summary, specific measurements from genomic and metabolomic platforms, distilled here into the most predictive determinants, provide complementary information for prediction of type 2 diabetes, and, together, modestly improve the accuracy of standard clinical models of diabetes prediction.
Therefore, the results indicate that the indices of solvent sensitivity (solvatochromism) and conformational freedom (viscosity) can be utilized as predictive determinants for achieving superior LCOs for spectral separation of differing protein aggregates.
We also sought to identify determinants predictive of TH use amongst those dying of HIV/AIDS and TB in this population.
Multivariable analysis was used to estimate the predictive power of potential determinant variables for lung function.
This resonates with the finding that the main determinant of predictive accuracy of the polygenic score is the sample size of the training set (e.g., [ 60, 61]).
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