Sentence examples for score for selection from inspiring English sources

Most Australian graduate entry medical schools also use Grade Point Average and interview score for selection.

The majority of papers scored well on reporting (median 10.5, possible total of 11) and external validity (median 3, possible total of 3) with poorer scores on internal validity (median 7, possible total of 13, combined score for selection and confounding bias) and power (median 0.0 possible total of 5).

Without the quarantining of specific places for rural background students in a medical school the current emphasis on UMAT and academic entry scores for selection potentially places rural applicants in Australia at a disadvantage.

The regression studies do not show such good results (Fig.  3) with over half having questionable scores for selection bias and the majority having high risk of performance bias.

Metformin response could be defined in 929 white patients, and their characteristics are shown in Table  1.> -wrap-foot> Dare are means±SD or n aQuality of the studies assessed with the Newcastle Ottawa Assessment Scale (www.ohri.ca/programs/clinical_epidemiology/oxford.asp); the maximum scores for selection, comparability and exposure are ****, ** and ***, respectively.

Sensitivity analyses were then conducted in which the final model, excluding the propensity score adjustment for selection bias, was re-estimated within each propensity score strata.

Calculation of a significant interaction network (SIN) score allows for selection of amino acids that are conserved and constrained within the protein system.

Nevertheless, these numbers were used to rank the different libraries in terms to their "overlap" with DIVERSet™-CL (lower overlapping libraries allocated higher ranks) and this ranking was combined with the previous rankings into a single consensus score for library selection.

Meanwhile, the gender feature got lower score for feature selection using the SVM strategy.

A further objective was to design a marker score for marker selection, targeting the best performance of the tested models.

The propensity score permits investigators to adjust for selection bias due to measured factors, but it still cannot account for selection bias that is due to unobserved factors [18].