Evaluation of screening methods for Down's syndrome using bootstrap comparison of ROC curves
This paper concerns the prediction of fetal Down's syndrome in pregnant women. Down's syndrome is the most common congenital cause of severe mental retardation. We elaborate two predictive functions of trisomy 21, combining maternal age and a maternal serum marker. We evaluated them by mea...
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Veröffentlicht in: | Computer methods and programs in biomedicine 1994-06, Vol.43 (3), p.151-157 |
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description | This paper concerns the prediction of fetal Down's syndrome in pregnant women. Down's syndrome is the most common congenital cause of severe mental retardation. We elaborate two predictive functions of trisomy 21, combining maternal age and a maternal serum marker. We evaluated them by means of receiver operating characteristic (ROC) curves which give a representation of sensitivity and specificity of a prediction model when varying the cutoff of the predictor on the whole spectrum. Since normal statistical methods for comparison of ROC curves rely on distributional assumptions which were not verified, we used bootstrapping of ROC curves as a check for the statistical significance of differences between the areas under the curves. |
doi_str_mv | 10.1016/0169-2607(94)90065-5 |
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Down's syndrome is the most common congenital cause of severe mental retardation. We elaborate two predictive functions of trisomy 21, combining maternal age and a maternal serum marker. We evaluated them by means of receiver operating characteristic (ROC) curves which give a representation of sensitivity and specificity of a prediction model when varying the cutoff of the predictor on the whole spectrum. 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Down's syndrome is the most common congenital cause of severe mental retardation. We elaborate two predictive functions of trisomy 21, combining maternal age and a maternal serum marker. We evaluated them by means of receiver operating characteristic (ROC) curves which give a representation of sensitivity and specificity of a prediction model when varying the cutoff of the predictor on the whole spectrum. Since normal statistical methods for comparison of ROC curves rely on distributional assumptions which were not verified, we used bootstrapping of ROC curves as a check for the statistical significance of differences between the areas under the curves.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Biomathematics</subject><subject>Boostrap</subject><subject>Case-Control Studies</subject><subject>Chorionic Gonadotropin - blood</subject><subject>Chromosome aberrations</subject><subject>Cohort Studies</subject><subject>Comparison of ROC curves</subject><subject>Down Syndrome - epidemiology</subject><subject>Down Syndrome - prevention & control</subject><subject>Down's syndrome</subject><subject>Evaluation Studies as Topic</subject><subject>Female</subject><subject>Fetal Diseases - epidemiology</subject><subject>Fetal Diseases - prevention & control</subject><subject>Forecasting</subject><subject>Gestational Age</subject><subject>Humans</subject><subject>Likelihood Functions</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Maternal Age</subject><subject>Medical genetics</subject><subject>Medical sciences</subject><subject>Prediction</subject><subject>Predictive Value of Tests</subject><subject>Pregnancy</subject><subject>Pregnancy Outcome</subject><subject>Pregnancy, High-Risk</subject><subject>Prenatal Diagnosis - statistics & numerical data</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>ROC curves</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE2LFDEQhoMo6-zoP1DIQfw4tCadj-5cBJldP2BhQfQmhHRS0Uh3Z0x1j-y_t9sZ5qiHog711FvFQ8gTzl5zxvWbpUxVa9a8NPKVYUyrSt0jG942ddUore6TzRl5SC4RfzLGaqX0BblojNJcqQ35dn1w_eymlEeaI0VfAMY0fqcDTD9yQBpzoVf59_gCKd6NoeQB6Iwr0eU84VTcnvo87F1JeMz4fLujfi4HwEfkQXQ9wuNT35Kv76-_7D5WN7cfPu3e3VRe8maqRF23wgtWSy0hgIkd1y1vo2iCiBE6KWVQoHlQtWBOmaU67XTdtEJAiEZsyfNj7r7kXzPgZIeEHvrejZBntI1umVAt_y-43DVmhbdEHkFfMmKBaPclDa7cWc7sat-uau2q1hpp_9q3all7esqfuwHCeemke5k_O80detfH4kaf8IxJLuqGr2--PWKwSDskKBZ9gtFDSAX8ZENO__7jD5cBoF8</recordid><startdate>19940601</startdate><enddate>19940601</enddate><creator>Aegerter, P.</creator><creator>Muller, F.</creator><creator>Nakache, J.P.</creator><creator>Boue, A.</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>19940601</creationdate><title>Evaluation of screening methods for Down's syndrome using bootstrap comparison of ROC curves</title><author>Aegerter, P. ; Muller, F. ; Nakache, J.P. ; Boue, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-32283c302464ede9fb16818f37d3ffeb444d5e61d5230a590a5b6a627833edf93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Biomathematics</topic><topic>Boostrap</topic><topic>Case-Control Studies</topic><topic>Chorionic Gonadotropin - blood</topic><topic>Chromosome aberrations</topic><topic>Cohort Studies</topic><topic>Comparison of ROC curves</topic><topic>Down Syndrome - epidemiology</topic><topic>Down Syndrome - prevention & control</topic><topic>Down's syndrome</topic><topic>Evaluation Studies as Topic</topic><topic>Female</topic><topic>Fetal Diseases - epidemiology</topic><topic>Fetal Diseases - prevention & control</topic><topic>Forecasting</topic><topic>Gestational Age</topic><topic>Humans</topic><topic>Likelihood Functions</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Maternal Age</topic><topic>Medical genetics</topic><topic>Medical sciences</topic><topic>Prediction</topic><topic>Predictive Value of Tests</topic><topic>Pregnancy</topic><topic>Pregnancy Outcome</topic><topic>Pregnancy, High-Risk</topic><topic>Prenatal Diagnosis - statistics & numerical data</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>ROC curves</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aegerter, P.</creatorcontrib><creatorcontrib>Muller, F.</creatorcontrib><creatorcontrib>Nakache, J.P.</creatorcontrib><creatorcontrib>Boue, A.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aegerter, P.</au><au>Muller, F.</au><au>Nakache, J.P.</au><au>Boue, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of screening methods for Down's syndrome using bootstrap comparison of ROC curves</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>1994-06-01</date><risdate>1994</risdate><volume>43</volume><issue>3</issue><spage>151</spage><epage>157</epage><pages>151-157</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>This paper concerns the prediction of fetal Down's syndrome in pregnant women. 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subjects | Algorithms Biological and medical sciences Biomathematics Boostrap Case-Control Studies Chorionic Gonadotropin - blood Chromosome aberrations Cohort Studies Comparison of ROC curves Down Syndrome - epidemiology Down Syndrome - prevention & control Down's syndrome Evaluation Studies as Topic Female Fetal Diseases - epidemiology Fetal Diseases - prevention & control Forecasting Gestational Age Humans Likelihood Functions Mass Screening - statistics & numerical data Maternal Age Medical genetics Medical sciences Prediction Predictive Value of Tests Pregnancy Pregnancy Outcome Pregnancy, High-Risk Prenatal Diagnosis - statistics & numerical data Risk Factors ROC Curve ROC curves |
title | Evaluation of screening methods for Down's syndrome using bootstrap comparison of ROC curves |
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