Sentence examples for more relevant variable from inspiring English sources

Difficulties could also stem from the measurement of sound pressure rather than particle motion, which is the more relevant variable and can produce vastly different results24.

We therefore considered the status at 5 weeks to be a more relevant variable than the time to cortical continuity, and evaluated it in Linköping outside of the official protocol.

In the correlation analysis (Table 6), age and parity were strongly correlated (r = 0.96 .Age was considered the more relevant variable based on biological plausibility, thus parity was dropped from the model.

20 The ubiquity of race/ethnicity data, in contrast, has led to a well-developed literature on racial/ethnic disparities in cancer that creates an impression that this is a more relevant variable than SES.

We did not have information on more relevant variables.

And if more relevant variables were selected and employed into input layer, more high accuracy would achieve.

It is generally accepted that a variable should be selected if VIP > 1, but a proper threshold between 0.83 and 1.21 can yield more relevant variables [ 54, 55].

The results emphasize the need for further research on the topic and on the need for including more relevant variables to the statistical models to improve prediction accuracy [ 9].

As could be seen from the results, the advantage was not only that the BN-BMLA could detect more relevant variables, but the Bayesian networks offered a rich language for the detailed representation of types of relevance, including causal, acausal, and multitarget aspects.

As can be seen from the results, the advantage is not that the BN-BMLA can detect more relevant variables, but the Bayesian networks offer a rich language for the detailed representation of types of relevance, including direct and indirect aspects.

It is expected that a larger study with more field sample plots would gain improved model fit by including more relevant proxy variables in a multiplicative way, e.g. by establishing various spatial predictions individually for a multiplicative raster surface overlay.