Sentence examples for strength of prediction from inspiring English sources
The occurrence of these factors in close relatives has also been found in general to be predictive, but the strength of prediction is weaker and the conclusions are less definitive.
However, the strength of prediction equations by mineral horizon was generally weaker and in some cases not significant.
We believe that the strength of prediction between outdoor temperature and IVF temperature may have been stronger with a larger dataset.
This study sought to determine the optimal time to perform home BP monitoring in hemodialysis patients to improve the strength of prediction of 44-hour interdialytic ambulatory BP.
The strength of prediction equations for 2,4-D Kd and atrazine Kd were strong in each soil-landscape when all samples in the soil profile were included in the model.
Simulations were conducted to explain the impact of selective drop-out on the strength of prediction.
This study sought to compare the strength of predictions of arterial fibrosis by using a new parameter, the cardio-ankle vascular index (CAVI), versus pulse wave velocity (PWV) in patients with kidney failure treated with hemodialysis.
We evaluated the ranked lists according to two criteria: sensitivity to detect targets that were previously identified by conventional means and relative strength of predictions as determined by rank.
These response models account for the individual variability in the overall speed of responding (Fig. 6 B), but differ in assuming whether precision of predictions, strength of the prediction about CV or surprise, respectively, determine saccadic RS.
Again, the strengths of prediction were each an approximate doubling or more of risk, and there was a substantial gradient in risk for the relatives associated with the number of these four features in the tumour of the index case.
Despite SRSs having been quite extensively analyzed, advances on detection methods are still being demonstrated, such as the vigiRank algorithm [ 16 ], which combines multiple strength-of-evidence prediction indicators to improve accuracy compared with DP analysis alone.
