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Previous studies have determined that the best use of predictors is during the influenza season [ 15].
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Using the final selected variables, we explored use of predictor variable transformations for the sigmoidal and exponential models.
The use of predictor variables developed from optical satellite imagery in models to estimate AGB has a long history.
Restricted to only the use of predictor variables measured in previous data sets.
The study is also strengthened by the use of predictor variables that are commonly used in both hospital and community-based pediatric care settings.
It is important to recognise that the use of multiple predictors assumes that the predictors are independent of each other.
The use of Kalman predictors is investigated to estimate the complex channel gains at the moment of transmission.
CONCLUSION: The use of genomic predictors of response to cisplatin and pemetrexed can be incorporated into strategies to optimize therapy for advanced solid tumors.
The use of several predictors in multiple linear regressions may improve the prediction, but this approach may be overly complicated for clinical use.
The use of complementary predictors could improve prediction and prognostication.
The use of complementary predictors could reduce the risk for inaccurate prediction of metabolic syndrome.
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