ROC curve regression analysis: The use of ordinal regression models for diagnostic test assessment Conference Paper


Authors: Tosteson, A. N. A.; Weinstein, M. C.; Wittenberg, J.; Begg, C. B.
Title: ROC curve regression analysis: The use of ordinal regression models for diagnostic test assessment
Conference Title: 4th Japan-US Biostatistics Conference on the Study of Human Cancer
Abstract: Diagnostic tests commonly are characterized by their true positive (sensitivity) and true negative (specificity) classification rates, which rely on a single decision threshold to classify a test result as positive. A more complete description of test accuracy is given by the receiver operating characteristic (ROC) curve, a graph of the false positive and true positive rates obtained as the decision threshold is varied. A generalized regression methodology, which uses a class of ordinal regression models to estimate smoothed ROC curves has been described. Data from a multi-institutional study comparing the accuracy of magnetic resonance (MR) imaging with computed tomography (CT) in detecting liver metastases, which are ideally suited for ROC regression analysis, are described. The general regression model is introduced and an estimate for the area under the ROC curve and its standard error using parameters of the ordinal regression model is given. An analysis of the liver data that highlights the utility of the methodology in parsimoniously adjusting comparisons for covariates is presented.
Keywords: methodology; specificity; sensitivity; area; diagnostic; roc curves; ordinal regression; test assessment; rating experiment
Journal Title Environmental Health Perspectives
Volume: 102
Issue: Suppl. 8
Conference Dates: 1992 Nov 9-11
Conference Location: Toyko, Japan
ISBN: 0091-6765
Publisher: US Department of Health and Human Services  
Date Published: 1994-11-01
Start Page: 73
End Page: 78
Language: English
ACCESSION: WOS:A1994PW22100013
DOI: 10.1289/ehp.94102s873
PROVIDER: wos
PMCID: PMC1566538
PUBMED: 7851336
Notes: Source: Wos
Altmetric Score
MSK Authors
  1. Colin B Begg
    241 Begg