Sentence examples for construct a summary from inspiring English sources

Exact(8)

Some previously developed risk scores contained a mathematical error in their construction: risk ratios were added to derive weights to construct a summary risk score.

We will construct a 'Summary of findings' table for each comparison and use GRADE proGDT software and the principles of the GRADE approach (Atkins et al. 2004) to assess the quality of a body of evidence based on the extent to which there can be confidence that the obtained effect estimate reflects the true underlying effect.

These lead to two main approach directions: (i) extract some sentences which have highest benchmarks to produce the summary this direction is called "extraction"; (ii) construct a summary based on understanding the meaning of the source paragraph this direction is called "abstraction".

21 We will construct a Summary of Findings table using the GRADE software.

The derived estimates of sensitivity, specificity, and respective variances were also used to construct a summary ROC curve [ 29],[ 30].

In order to construct a summary measure individual scores for each item were added using the coding in Table  3.

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Similar(52)

They chunked the text into smaller, multiparagraph sections, shared questions that pertained to each section and together constructed a summary before moving on to the next section.

Before constructing a summary score, the number of latent factors/dimensions explaining correlations among the observed items was recognized.

We also constructed a summary receiver operator characteristic (SROC) curve by plotting the individual and summary points of SEN and SPE to assess overall diagnostic accuracy [ 24].

Since TPR and FPR are not independent, we summarized their joint distribution by constructing a summary receiver operating characteristic (SROC) curve [ 21].

To summarize these results, we constructed a summary receiver operator characteristic (SROC) curve, which shows the relationship between sensitivity and the proportion of false positives (1-specificity).

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