Medical diagnostic testing models for multifactorial disease classifications

Authors

  • Alan D. Hutson

    Corresponding author
    1. Department of Biostatistics, University at Buffalo, School of Public Health, 249 Farber Hall, Buffalo, NY 14214-3000, U.S.A.
    • Department of Biostatistics, University at Buffalo, School of Public Health and Health Professions, 249 Farber Hall, Buffalo, NY 14214-3000, U.S.A.
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    • Associate Professor.


Abstract

In this note we extend the logistic regression receiver operating characteristic (ROC) analysis framework to diagnosing disease that can be classified in a 2 × 2 factorial setting. Similar to the standard ROC curve analysis these new models accommodate prediction of cross-classifications for treatment success and diagnosis of disease. A didactic example is given for jointly diagnosing malaria positive and respiratory distress in children in Ghana. Copyright © 2005 John Wiley & Sons, Ltd.

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