PMC:2940023 / 6462-6866 JSONTXT

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    0_colil

    {"project":"0_colil","denotations":[{"id":"20559838-15845334-57188","span":{"begin":400,"end":402},"obj":"15845334"}],"text":"Sample size\nAs a general rule, 10 patients with the condition of interest per analysed variable are required for regression analysis. In our dataset (n = 254), 123 patients were identified as having obstructive CAD on CCA. This allowed for the analysis of 12 variables. Our sample meets the required number of cases and non-cases that has been suggested for external validation of prediction models [16]."}

    2_test

    {"project":"2_test","denotations":[{"id":"20559838-15845334-29364890","span":{"begin":400,"end":402},"obj":"15845334"}],"text":"Sample size\nAs a general rule, 10 patients with the condition of interest per analysed variable are required for regression analysis. In our dataset (n = 254), 123 patients were identified as having obstructive CAD on CCA. This allowed for the analysis of 12 variables. Our sample meets the required number of cases and non-cases that has been suggested for external validation of prediction models [16]."}

    TEST0

    {"project":"TEST0","denotations":[{"id":"20559838-130-136-57188","span":{"begin":400,"end":402},"obj":"[\"15845334\"]"}],"text":"Sample size\nAs a general rule, 10 patients with the condition of interest per analysed variable are required for regression analysis. In our dataset (n = 254), 123 patients were identified as having obstructive CAD on CCA. This allowed for the analysis of 12 variables. Our sample meets the required number of cases and non-cases that has been suggested for external validation of prediction models [16]."}

    MyTest

    {"project":"MyTest","denotations":[{"id":"20559838-15845334-29364890","span":{"begin":400,"end":402},"obj":"15845334"}],"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":"Sample size\nAs a general rule, 10 patients with the condition of interest per analysed variable are required for regression analysis. In our dataset (n = 254), 123 patients were identified as having obstructive CAD on CCA. This allowed for the analysis of 12 variables. Our sample meets the required number of cases and non-cases that has been suggested for external validation of prediction models [16]."}