Bayesian Estimation for Performance Measures of Two Diagnostic Tests in the Presence of Verification Bias
作者： Davi Casale Aragon , Edson Zangiacomi Martinez , Jorge Alberto Achcar
DOI: 10.1080/10543401003618868
关键词:
摘要: Sensitivity and specificity are measures that allow us to evaluate the performance of a diagnostic test. In practice, it is common have situations where proportion selected individuals cannot real state disease verified, since verification could be an invasive procedure, as occurs with biopsy. This happens, special case, in diagnosis prostate cancer, or any other situation related risks, is, not practicable, nor ethical, high cost. For this use tests based only on information verified individuals. procedure can lead biased results workup bias. paper, we introduce Bayesian approach estimate sensitivity for two considering unverified individuals, result generalizes usual one
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