Sentence examples for measures in predicting from inspiring English sources

Therefore, the present study was conducted to compare SAD to other anthropometric measures in predicting the amount of CT-measured adipose tissue in a large, apparently healthy population.

We separate the entry of personality and cognitive predictors into the regression model to show the benefit of including personality measures in predicting visual search performance.

Analysis methods involve the use of probit analysis to investigate the relative efficiency of the various measures in predicting noise reaction.

However, the performance of functional and non-functional connectivity measures in predicting patch occupancy of such species has never been compared in a multi-species approach.

The present study aimed to evaluate (1) associations of these physical performance measures with cause-specific mortality, (2) independent associations of individual physical performance measures with mortality, and (3) the added value of combined use of the 3 physical performance measures in predicting all-cause and cause-specific mortality.

Accordingly, we also identified the best measures in predicting ASD using a subset regression approach assuming 3 predictors reflecting the diagnostic triad.

Furthermore, these indices appear not to perform better than common clinical measures of adiposity, nor to add significant predictive information to knowledge from non-invasive clinical measure in predicting insulin sensitivity.

It homed in on loan-to-value ratios, a crucial measure in predicting defaults.

The success of this measure in predicting the outcome of the illness stimulated the introduction of interventions designed to ameliorate the emotional atmosphere in the home.

In particular, velocity spectrum intensity (VSI), which represents the integral of the pseudo-velocity spectrum over a wide period range, is found to be the most efficient intensity measure in predicting the seismic demands on the pile foundation.

In females, the BMC index was a poor measure in predicting all metabolic syndrome components.