Sentence examples for powerful predictor for from inspiring English sources
The researchers found that the style of argument detected in the video sessions was a powerful predictor for a man or woman's risk for underlying heart disease.
"Today's learning outcomes at school," says Schleicher, "are a powerful predictor for the wealth and social outcomes that countries will reap in the long run".
Several studies have confirmed that chronic pain prior to amputation is a powerful predictor for the development of phantom limb pain [8].
Women with a twin gestation are at increased risk for preterm birth (PTB), and sonographic cervical length (CL) is a powerful predictor for spontaneous PTB.
The results indicated future preparedness to be a powerful predictor for becoming an outperformer in the industry, for attaining superior profitability, and for gaining superior market capitalization growth.
Integrating these findings with those of others, we present a model of acute pain memory recall in which negative emotions influence pain memory processing wherein the level of experienced pain predicts short-term recall and affective state at the time of the experience becomes a powerful predictor for the long-term recall of experienced pain level.
In general, results showed that the ECa surfaces are the most powerful predictors for ECe at three depth intervals (i.e. 0 15, 15 30 and 30 60 cm).
The most powerful predictors for N concentrations in mosses sampled in 2012 are the sampling point (open field, forest stand) (level 1), distance to interstate roads in metres (Dist_Int), moss species (level 2), distance to animal housings in metres (Dist_Ani), distance to highways in metres (Dist_High) (level 3).
In general, factors being consistently associated with new drug uptake were powerful predictors for both types of the drugs.
Although cytotoxic chemotherapy is widely used in advanced breast cancer, there are no powerful predictors for the therapy response.
Our finding of a three-lncRNA signature in OSCC suggests that lncRNAs can be powerful predictors for survival of patients with cancer.
