Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve
Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariate...
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| Published in | Biometrika Vol. 96; no. 2; pp. 371 - 382 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
England
Oxford University Press for Biometrika Trust
01.06.2009
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| Series | Biometrika |
| Online Access | Get more information |
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| Abstract | Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariates may include subject characteristics, expertise of the test operator, test procedures or aspects of specimen handling. In this paper, we propose the covariate-adjusted receiver operating characteristic curve, a measure of covariate-adjusted classification accuracy. Nonparametric and semiparametric estimators are proposed, asymptotic distribution theory is provided and finite sample performance is investigated. For illustration we characterize the age-adjusted discriminatory accuracy of prostate-specific antigen as a biomarker for prostate cancer. |
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| AbstractList | Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariates may include subject characteristics, expertise of the test operator, test procedures or aspects of specimen handling. In this paper, we propose the covariate-adjusted receiver operating characteristic curve, a measure of covariate-adjusted classification accuracy. Nonparametric and semiparametric estimators are proposed, asymptotic distribution theory is provided and finite sample performance is investigated. For illustration we characterize the age-adjusted discriminatory accuracy of prostate-specific antigen as a biomarker for prostate cancer. Copyright 2009, Oxford University Press. Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariates may include subject characteristics, expertise of the test operator, test procedures or aspects of specimen handling. In this paper, we propose the covariate-adjusted receiver operating characteristic curve, a measure of covariate-adjusted classification accuracy. Nonparametric and semiparametric estimators are proposed, asymptotic distribution theory is provided and finite sample performance is investigated. For illustration we characterize the age-adjusted discriminatory accuracy of prostate-specific antigen as a biomarker for prostate cancer. |
| Author | Pepe, Margaret S Janes, Holly |
| Author_xml | – sequence: 1 givenname: Holly surname: Janes fullname: Janes, Holly email: hjanes@scharp.org, mspepe@u.washington.edu organization: Division of Public Health Sciences, Fred Hutchinson Cancer, Research Center, 1100 Fairview Avenue North, Seattle, Washington 98109 , U.S.A. hjanes@scharp.org mspepe@u.washington.edu – sequence: 2 givenname: Margaret S surname: Pepe fullname: Pepe, Margaret S |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22822245$$D View this record in MEDLINE/PubMed http://econpapers.repec.org/article/oupbiomet/v_3a96_3ay_3a2009_3ai_3a2_3ap_3a371-382.htm$$DView record in RePEc |
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