Sentence examples for predictors not only from inspiring English sources

The study data suggest that positive chip results might be predictors not only of tumor response but also of DFS.

The sense of loss and painfulness of loss turned out to be the strongest predictors not only of pain intensity but also of using analgesics.

The study extends the evaluation of the optimum set of predictors not only in light of the attained performances but in relation to the stability of the resulted predictors as well.

It has been found that paternal and maternal smoking statuses are strong predictors not only of child smoking onset but as well as transition from initiation to monthly and then to daily cigarette use [ 9, 10].

The use of pain as a continuous predictor not only increases the sensitivity of observed relationships but also lends a simplified and meaningful interpretation of the relationship through the slope as a measure of change.

In their systematic review on the influence of personality characteristics on medical students' performance, Doherty and Nugent found conscientiousness to be a significant predictor not only of academic success in medical school, but also of vulnerability to stress [ 10].

This is in line with the current data on TAVI patients whereby the presence of PAD has been shown to be a predictor not only of major vascular complications but also of mortality in patients with percutaneous and surgical TAVI [ 43].

Although educational level may be an imperfect measure for socio economic status, many studies have clearly established that this marker acts as a good predictor not only for most chronic diseases [ 10, 11, 14] but also for many related risk factors [ 22, 23].

The outputs of our multi-class predictors include not only the label, but also the class probability of each class.

In conclusion, this study suggests that leptin and CRP are strong predictors of not only cardiovascular disease but also metabolic syndrome in Taiwanese men and women.

Our risk calculation was based on a statistical method that yielded a systematic scoring system for carefully selected predictors, guided not only by numerical and scientific evidence but also feasibility perspectives.