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in a typical diagnostic test analysis an individual is given a score with the intent that the score will be useful in predicting whether the individual has or does not have the condition of interests based on a hopefully large number of individuals for which the score and condition is known researchers may use ROC curve analysis to determine the ability of the score to classify or predict the condition the analysis may also be used to determine the optimal cutoff value or optimal decision threshold for a given cutoff value a positive or negative diagnosis is made for each unit by comparing the measurement to the cutoff value if the measurement is less or greater as the case may be then the cutoff the predicted condition is negative otherwise the predicted condition is positive however the predicted condition doesnt necessarily match the true condition of the individual there are four possible outcomes true positive true negative false positive false negative for a given cutoff value
