1971
DOI: 10.1126/science.171.3977.1217
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Signal Detectability and Medical Decision-Making

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Cited by 278 publications
(140 citation statements)
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“…ROC are based on statistical decision theory and were introduced in the 1950s as reported by Metz [27] in the context of electronic signal detection and interpretation problems with radar. Later, the ROC were applied to medical imaging [28,29] and pap smear analysis [30]. The calculation of ROC for accuracy measurement is so widely used within the ÿeld of biomedical engineering, that its application has become a worldwide standard.…”
Section: Accuracy Evaluationmentioning
confidence: 99%
“…ROC are based on statistical decision theory and were introduced in the 1950s as reported by Metz [27] in the context of electronic signal detection and interpretation problems with radar. Later, the ROC were applied to medical imaging [28,29] and pap smear analysis [30]. The calculation of ROC for accuracy measurement is so widely used within the ÿeld of biomedical engineering, that its application has become a worldwide standard.…”
Section: Accuracy Evaluationmentioning
confidence: 99%
“…With regard to lineup format (simultaneous vs. sequential lineups), recent mock crime studies using receiver operating characteristic (ROC) analysis (15)(16)(17) have generally found that simultaneous lineups are, if anything, diagnostically superior to sequential lineups (18)(19)(20)(21). Similarly, in a recent police department field study comparing the two lineup formats, expert ratings of evidence against identified suspects favored the simultaneous procedure (22).…”
mentioning
confidence: 99%
“…However, despite these apparent indicators of diagnostic superiority, an inquiry into the nature of ROC analysis, a wellestablished technique grounded in signal-detection theory (Green & Swets, 1966;Swets, Dawes, & Monahan, 2000), reveals that a higher diagnosticity ratio does not actually identify the superior procedure. Indeed, the field of medicine long ago abandoned the use of the diagnosticity ratio (where it is usually referred to as either the likelihood ratio or the positive likelihood ratio) and has come to instead rely almost exclusively on ROC analysis (Lusted, 1971a(Lusted, , 1971bMetz, 1978). We argue that a similar change in emphasis is needed in the field of eyewitness memory, and we begin our case by describing how ROC analysis is routinely used in the field of medicine to evaluate the performance of competing diagnostic tests.…”
mentioning
confidence: 99%