Sentence examples for interventions and predicting from inspiring English sources

The goal of the course is to provide students with a broad framework for evaluating market, political and social failures; identifying possible policy interventions; and predicting the ways in which such interventions would translate into policy outcomes.

Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals.

Characterising smoking patterns in birth cohorts is essential for evaluating the impact of tobacco control interventions and predicting smoking-related mortality.

First et al. proposed a more detailed definition of clinical utility as the extent to which a diagnostic classification assists the clinical decision-makers in conceptualising and communicating clinical information, using the diagnostic categories, choosing effective interventions and predicting future management needs [ 89].

CONCLUSIONS: The identification of specific coping styles that were associated with more or less distress is useful as a means of identifying and targeting coping interventions and predicting which participants may be at risk for distress.

Digital sequence simulation is used as an innovative tool to represent local activities, promote interventions and predict possible self-organization process in the future.

Preferably, the cohorts should have a longitudinal design in order to tackle perturbations, perform interventions and predict disease outcomes based on factors such as genetic risk, gut microbiome, molecular biomarkers, physiological traits and environmental factors.

However, estimates incorporating participation of those assigned to the intervention and predicted participation among those not assigned revealed significant positive effects on student aggression, use of aggressive strategies for conflict management, and parental estimation of student's valuing of achievement.

Most share a common clinical reasoning strategy to classify patients into subgroups based on relevance of a specific movement direction to the symptoms in order to direct intervention and predict outcomes.

In mediation analysis, adding intentions for CHD risk reduction to the model testing the relationship between the intervention and predicted CHD risk reduced the difference in predicted CHD risk by 0.18 absolute percentage points, while adding self-reported adherence to the model reduced the difference in predicted CHD risk by 0.22 absolute percentage points.

This probability assumption allows correlation with published total (cancer and benign) intervention rates and predicts a healthy women (benign) intervention rate after baseline screening of 32.1/1000 at age 40 to 31.6/1000 at age 60.