title: Medical diagnostic testing models for multifactorial disease classifications.
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.
authors: Department of Biostatistics, University at Buffalo, School of Public Health, 249 Farber Hall, Buffalo, NY 14214-3000, USA. ahutson@buffalo.edu
authors: Alan D
authors: AD
authors: Hutson
mesh_terms: D015415:Biomarkers / Q000032:analysis; D002675:Child, Preschool; D003933:Diagnosis; D006801:Humans; D008288:Malaria / Q000150:complications / Q000175:diagnosis; D012372:ROC Curve; D012044:Regression Analysis; D012140:Respiratory Tract Diseases / Q000150:complications / Q000175:diagnosis
chemical_list: D015415:Biomarkers