Non Parametric ROC Summary Statistics
Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we intr...
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Estatística | Statistics Portugal
2022-01-01
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| Series: | Revstat Statistical Journal |
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| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/228 |
| _version_ | 1798036659403489280 |
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| author | M.C. Pardo A.M. Franco-Pereira |
| author_facet | M.C. Pardo A.M. Franco-Pereira |
| author_sort | M.C. Pardo |
| collection | DOAJ |
| description |
Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we introduce non parametric ROC summary statistics to assess a ROC curve across the entire range of F P F s ∈ (0, 1) as well as over a restricted range of F P F s and compare them with some existing ones through a simulation study and through some real data examples. We also show their capability to compare two diagnostic markers.
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| first_indexed | 2024-04-11T21:15:56Z |
| format | Article |
| id | doaj.art-9d55ecb18d1f4105881cee78a08b97a9 |
| institution | Directory Open Access Journal |
| issn | 1645-6726 2183-0371 |
| language | English |
| last_indexed | 2024-04-11T21:15:56Z |
| publishDate | 2022-01-01 |
| publisher | Instituto Nacional de Estatística | Statistics Portugal |
| record_format | Article |
| series | Revstat Statistical Journal |
| spelling | doaj.art-9d55ecb18d1f4105881cee78a08b97a92022-12-22T04:02:49ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712022-01-0115410.57805/revstat.v15i4.228Non Parametric ROC Summary StatisticsM.C. Pardo 0A.M. Franco-Pereira 1Complutense University of MadridComplutense University of Madrid Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we introduce non parametric ROC summary statistics to assess a ROC curve across the entire range of F P F s ∈ (0, 1) as well as over a restricted range of F P F s and compare them with some existing ones through a simulation study and through some real data examples. We also show their capability to compare two diagnostic markers. https://revstat.ine.pt/index.php/REVSTAT/article/view/228receiver operating characteristicnon parametric methodsdiagnostic marker |
| spellingShingle | M.C. Pardo A.M. Franco-Pereira Non Parametric ROC Summary Statistics Revstat Statistical Journal receiver operating characteristic non parametric methods diagnostic marker |
| title | Non Parametric ROC Summary Statistics |
| title_full | Non Parametric ROC Summary Statistics |
| title_fullStr | Non Parametric ROC Summary Statistics |
| title_full_unstemmed | Non Parametric ROC Summary Statistics |
| title_short | Non Parametric ROC Summary Statistics |
| title_sort | non parametric roc summary statistics |
| topic | receiver operating characteristic non parametric methods diagnostic marker |
| url | https://revstat.ine.pt/index.php/REVSTAT/article/view/228 |
| work_keys_str_mv | AT mcpardo nonparametricrocsummarystatistics AT amfrancopereira nonparametricrocsummarystatistics |