Sentence examples for predictors for assessing from inspiring English sources

We hope that our study contributes to future discussions on the most important predictors for assessing QOL in older adults and on long-term changes in the perception of QOL in this population.

Recent prospective studies in healthy individuals suggest that the postprandial triglyceride (TG) level is a better independent predictor for assessing future CVD events than fasting TG levels.

The objective of the study is to develop and validate a predictor score for assessing the requirement of mechanical ventilation (MV) in patients with Guillain-Barre syndrome (GBS).

T test was used to compare means and logistic regression for assessing predictors.

Therefore, it is of great importance to have reliable and easy-to-use tools which can be used in clinical practice for assessing predictors of treatment adherence and non-adherence.

The opposite temporal relationship of prior SRO (reported in wave 1) on future current smoking (reported in wave 2) was tested using the identical covariates for assessing predictors of wave 2 SRO, following Granger.

While interrater agreement was good in our setting, a validated method for assessing these predictors would have been preferred and might have improved the accuracy of the measurement.

Although most studies of cardiovascular risk to date have focused on fasting conditions, recent studies have demonstrated that the postprandial TG level was a better independent predictor than the fasting TG level for assessing present and future CVD events in the nondiabetic population [ 11].

We used unadjusted models (but accounting for clustering) and models that adjusted for predictors to assess the changes between pre- and immediate post-visit assessments in each of the behavior change constructs.

The outcome predictors for awakening were assessed for sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratios (+LR), negative likelihood ratios (−LR) and unweighted accuracy.

Predictors were assessed for collinearity by examining intercorrelations, which were relatively small with the highest absolute value at r = .46.46