Sentence examples for assessments in predicting from inspiring English sources

There is as yet little written on the reasons for the counter-intuitive finding that MCQ is as valid as open-ended assessments in predicting clinical performance.

Recommendations were based on evidence about the accuracy of assessments in predicting complications in pregnancy and the effectiveness of interventions in reducing symptoms as described in Table  1.> -wrap-foot> *CBR-recommendation formulated in the absence of quality evidence (where a systematic review of the evidence was conducted as part of the search strategy.

The present study also suggested that 18F-FLT PET/CT may perform better than follow-up BM assessment in predicting relapse.

To evaluate the effectiveness of criteria based on child-parent assessment in predicting familial hypercholesterolemia (FH -causative mutations in unselected children with hypercholesterolemia.

The 70-gene microarray signature was superior to clinicopathological risk assessment in predicting all endpoints.

Given the limited evidence on suicide risk assessment in predicting risk levels [ 5- 7], more research are needed to investigate the validity of risk screening tools.

The sensivity, specifity, NPV and PPV for both red and yellow internal os assessment in predicting preterm delivery were 85.7%, 97.6%, 98.3% and 81.1% respectively.

This study was designed to determine the optimal relationship between the sensitivity and specificity of blood lactate assessment in predicting mortality and to set appropriate cut-off values for predicting in-hospital mortality.

33 In clinical terms the incremental prognostic value was trivial (see table 5), with the indices that incorporated data from the exercise ECG proving no more effective than those of the basic clinical assessment in predicting adverse outcomes.

Focusing on methods using ESTs and mRNAs alignments but excluding proteins, ASPic-GeneID_AS1 is as accurate as PAIRAGON-any (49%) and 2% more accurate than Exogean (47%), indicated as the best gene finding program by the EGASP assessment, in predicting exact transcript structures.

Furthermore, are the physiological assessments valid in predicting adverse events associated with mobilisation?