Sentence examples for most robust predictor from inspiring English sources

Based on the multivariate predictive studies, the most robust predictor of global satisfaction is the quality of interpersonal interactions with the ED provider.

"Scientific studies of longevity, medical and mental health, happiness and even wisdom," Dr. Siegel says, "point to supportive relationships as the most robust predictor of these positive attributes in our lives across the life span".

Bipolar disorder runs in families and a confirmed history in a first-degree relative is the single most robust predictor of illness risk.

For investor identity, the most robust predictor was whether investors were human beings, with cases brought by people exhibiting greater success than corporations; and when at least one named investor or corporate parent was ranked in the Financial Times 500, investors sometimes secured more favorable outcomes.

On multivariate regression analysis, the presence of a headache post-injury was the most robust predictor, retaining statistical significance even after controlling for age, gender, and presence of loss of consciousness (LOC), alteration of consciousness (AOC), post-traumatic amnesia (PTA), seizure, or vomiting.

Age was the most robust predictor of distress and remained significant in models with multiple predictors.

When Dr Koller looked at which 11 features were the most robust predictors of survival, she discovered that only eight were characteristic of the tumour cells themselves.

We further show that linear head kinematics are the most robust predictors of duration of unconsciousness, severity of neurological deficits, white matter injury, and microgliosis following single TBI.

It's an idea that's been given a more empirical, pragmatic life by the American Robert Putnam, whose best work seems to suggest that the smaller instruments of social capital, like volunteer fire departments and amateur opera societies, are among the most robust predictors of success at honest, democratic government.

We leveraged biological priors as a means of identifying the most robust predictors since1 expression changes at the individual gene level alone may not be sufficient to identify biologically meaningful data and2 there exist substantial statistical advantages to dimension reduction strategies in the analysis of genome-wide data.

The system was able both to grade the slides and to predict, in a way that human pathologists could not, whether each patient would survive for five years after treatment.When Dr Koller looked at which 11 features were the most robust predictors of survival, she discovered that only eight were characteristic of the tumour cells themselves.