nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards
ROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary. In these situations, traditional ROC methods applied have lead to biased and uninformative outco...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2007-09-01
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| Series: | Journal of Statistical Software |
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| Online Access: | http://www.jstatsoft.org/v21/i10/paper |
| _version_ | 1811255620365451264 |
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| author | Paul Nguyen |
| author_facet | Paul Nguyen |
| author_sort | Paul Nguyen |
| collection | DOAJ |
| description | ROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary. In these situations, traditional ROC methods applied have lead to biased and uninformative outcomes. This article introduces nonbinROC, software for R that implements nonparametric estimators proposed by Obuchowski (2005) for estimating and comparing diagnostic tests' accuracies when the gold standard is measured on a continuous, ordinal or nominal scale. The results produced from these estimators are interpreted in the same manner as in ROC analysis but are not associated with any ROC curve. |
| first_indexed | 2024-04-12T17:26:41Z |
| format | Article |
| id | doaj.art-c351f72bdc934ca3b387aab5d92b655d |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-04-12T17:26:41Z |
| publishDate | 2007-09-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-c351f72bdc934ca3b387aab5d92b655d2022-12-22T03:23:16ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602007-09-012110nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold StandardsPaul NguyenROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary. In these situations, traditional ROC methods applied have lead to biased and uninformative outcomes. This article introduces nonbinROC, software for R that implements nonparametric estimators proposed by Obuchowski (2005) for estimating and comparing diagnostic tests' accuracies when the gold standard is measured on a continuous, ordinal or nominal scale. The results produced from these estimators are interpreted in the same manner as in ROC analysis but are not associated with any ROC curve.http://www.jstatsoft.org/v21/i10/paperROCgold standarddiagnostic testcontinuous scaleordinal scalenominal scale |
| spellingShingle | Paul Nguyen nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards Journal of Statistical Software ROC gold standard diagnostic test continuous scale ordinal scale nominal scale |
| title | nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards |
| title_full | nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards |
| title_fullStr | nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards |
| title_full_unstemmed | nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards |
| title_short | nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards |
| title_sort | nonbinroc software for evaluating diagnostic accuracies with non binary gold standards |
| topic | ROC gold standard diagnostic test continuous scale ordinal scale nominal scale |
| url | http://www.jstatsoft.org/v21/i10/paper |
| work_keys_str_mv | AT paulnguyen nonbinrocsoftwareforevaluatingdiagnosticaccuracieswithnonbinarygoldstandards |