I am interested in the identification of optimal cut points based on the minimization of the misclassification cost term [MCT = R*P*(1-SEN)+(1-P)*(1-SPE)], where P is the prevalence of the outcome, R is the ratio of the cost of a false negative to a false positive result, and SEN and SPE are the sensitivity and specificity of a continuous test at any possible cut point, respectively. Has anyone written a stata program to determine optimal cut points using this utility function and their confidence intervals based on, for instance, bootstrapping?
Thanks,
VICTOR M. HERRERA
PhD., Student
Population Health Sciences
University of Wisconsin
610 Walnut St. 632 WARF
Madison, WI 53726
(608) 265-3686
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