Sentence examples for determine the predictive capacity from inspiring English sources

Exact(3)

To examine parent-reported signs and symptoms as antecedents of wheezing in preschool children with previous moderate to severe wheezing episodes, and to determine the predictive capacity of these symptom patterns for wheezing events.

To verify the relation between the coping strategies and the SWB dimensions, multiple linear regression (using the stepwise method) was used to determine the predictive capacity of the coping strategies in each of the three subscales of subjective well-being.

The resultant PLS model used 8 factors to explain the variance and a full cross-validation to determine the predictive capacity.

Similar(57)

More studies will be necessary to determine whether the predictive capacity of the model is retained in patients treated with cetuximab plus chemotherapy or in patients treated with panitumumab.

The objective of this study was to determine the predictive value of pre-TI proliferative capacity and cell surface markers for CD4 count change in HIV-infected patients experiencing virologic failure before undergoing TI.

To determine the predictive factors for pregnancy after IUI.

External validation was used to determine the predictive power of the resulting model on previously unseen data58.

A process-removal approach allowed us to determine how stress processes resulting from water or nitrogen deficiency influence the predictive capacity of the model across a broad range of climatic conditions.

Having established which lactate variables had the strongest relationships with mortality, to then determine the true predictive capacity of these lactate variables, the data were randomly divided into two groups, with 50% of the data used as a derivation sample and the remaining 50% of the data used as a validation sample.

The predictive capacity was determined using the ratio of observed fractures/expected fractures by FRAX® (ObsFx/ExpFx).

Further study both in vitro and in vivo will be needed to explore the predictive capacity of the soft-plate assay in determining cancer cell responses to in vivo soft tissue environments and therapeutic potency within such environments.

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