Medical diagnostic testing models for multifactorial disease classifications
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1Department of Biostatistics, University at Buffalo, School of Public Health, 249 Farber Hall, Buffalo, NY 14214-3000, USA. ahutson@buffalo.edu
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 x 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.
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