![]() These concepts are used when you compare the results of a test with the clinical truth, which is established by the use of diagnostic procedures not involving the test in question. To make an ROC curve you have to be familiar with the concepts of true positive, true negative, false positive and false negative. ![]() In addition, the area under the ROC curve gives an idea about the benefit of using the test(s) in question. ![]() Now ROC curves are frequently used to show the connection between clinical sensitivity and specificity for every possible cut-off for a test or a combination of tests. The initial research was motivated by the desire to determine how the US RADAR "receiver operators" had missed the Japanese aircraft. ROC curves were first employed in the study of discriminator systems for the detection of radio signals in the presence of noise in the 1940s, following the attack on Pearl Harbor. The term ROC stands for Receiver Operating Characteristic.
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