PMC:2940023 / 9497-10270 JSONTXT

{"project":"0_colil","denotations":[{"id":"20559838-17569110-57193","span":{"begin":183,"end":185},"obj":"17569110"},{"id":"20559838-19487714-57194","span":{"begin":240,"end":242},"obj":"19487714"}],"text":"Furthermore, the following reclassification measures were calculated for each model: the overall (correct) percentage of reclassification, the net reclassification improvement (NRI) [21] and the integrated discrimination improvement (IDI) [20]. The NRI is the difference in proportions reclassifying to higher and lower probability categories among cases and non-cases. It is interpreted as the percentage reclassified, adjusted for the reclassification direction. A significant NRI indicates that classification improves when CTCS is included. The IDI compares the difference in the average regression slope of cases and non-cases among the models with and without CTCS. A significant IDI indicates that the new model performs better in discriminating cases and non-cases."}

{"project":"2_test","denotations":[{"id":"20559838-17569110-29364895","span":{"begin":183,"end":185},"obj":"17569110"},{"id":"20559838-19487714-29364896","span":{"begin":240,"end":242},"obj":"19487714"}],"text":"Furthermore, the following reclassification measures were calculated for each model: the overall (correct) percentage of reclassification, the net reclassification improvement (NRI) [21] and the integrated discrimination improvement (IDI) [20]. The NRI is the difference in proportions reclassifying to higher and lower probability categories among cases and non-cases. It is interpreted as the percentage reclassified, adjusted for the reclassification direction. A significant NRI indicates that classification improves when CTCS is included. The IDI compares the difference in the average regression slope of cases and non-cases among the models with and without CTCS. A significant IDI indicates that the new model performs better in discriminating cases and non-cases."}

{"project":"TEST0","denotations":[{"id":"20559838-183-189-57193","span":{"begin":183,"end":185},"obj":"[\"17569110\"]"},{"id":"20559838-227-233-57194","span":{"begin":240,"end":242},"obj":"[\"19487714\"]"}],"text":"Furthermore, the following reclassification measures were calculated for each model: the overall (correct) percentage of reclassification, the net reclassification improvement (NRI) [21] and the integrated discrimination improvement (IDI) [20]. The NRI is the difference in proportions reclassifying to higher and lower probability categories among cases and non-cases. It is interpreted as the percentage reclassified, adjusted for the reclassification direction. A significant NRI indicates that classification improves when CTCS is included. The IDI compares the difference in the average regression slope of cases and non-cases among the models with and without CTCS. A significant IDI indicates that the new model performs better in discriminating cases and non-cases."}

{"project":"MyTest","denotations":[{"id":"20559838-17569110-29364895","span":{"begin":183,"end":185},"obj":"17569110"},{"id":"20559838-19487714-29364896","span":{"begin":240,"end":242},"obj":"19487714"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"Furthermore, the following reclassification measures were calculated for each model: the overall (correct) percentage of reclassification, the net reclassification improvement (NRI) [21] and the integrated discrimination improvement (IDI) [20]. The NRI is the difference in proportions reclassifying to higher and lower probability categories among cases and non-cases. It is interpreted as the percentage reclassified, adjusted for the reclassification direction. A significant NRI indicates that classification improves when CTCS is included. The IDI compares the difference in the average regression slope of cases and non-cases among the models with and without CTCS. A significant IDI indicates that the new model performs better in discriminating cases and non-cases."}