Sentence examples for strongest predictive variable from inspiring English sources

LM, the strongest predictive variable, is used to separate the data points.

The strongest predictive variable (OR: 5.55; 95% CI: 3.02 10.19) was to have visited a gastroenterologist within the last 12 months.

Living in one of the 22 departments with organised screening programs was the strongest predictive variable, followed by motivation/concern for CRC screening and educational level, while the influence of gastroenterologists disappeared (Table 3).

The increased sensitivity of ultrasound for erosions was greater than that in the ESPOIR cohort 31 and of a similar order of magnitude to that seen by Wakefield et al. 14 Although not the strongest predictive variable in our analysis, ultrasound erosions had a high specificity for RA of 93%, greater than that of radiographic erosions in the Leiden undifferentiated cohort (77%).

From the multivariate analyses (Table 3), we can conclude that the three signatures added significant information to the traditional parameters and were the strongest predictive variables of DMFS, as reflected by their lowest p-values compared to the other variables.

From the multivariate analyses (Supplementary Table 6 in [Additional File 1]), we can conclude that the three signatures added significant information to the traditional parameters and were the strongest predictive variables of DMFS, as reflected by their lowest p-values compared to the other variables.

On the other side, genomic GC content is often a strong predictive variable for codon usage in viruses (Sharp and Li 1986; Karlin et al. 1990), revealing that genome-wide mutational pressures play an important role in patterning viral CUPrefs (Shackelton et al. 2006).

But it is also clear from Figure 1 that h2j is actually one of the stronger predictive variables, and using the more general definition would have severely understated its true predictive power.

Multivariate analysis found this marker to be the strongest independent predictive variable in esophageal cancer.

Of the six factors associated with HIV prevalence, the variable with the strongest predictive value was the city-level variable commercial heroin predominance.

The best-fitting predictive model included, along with ultrasound evidence, menstrual dyschezia, ethnicity, and a history of benign ovarian cysts as the variables with the strongest predictive performance.