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Estimation Of The Effect Of Misclassifications On Diagnostic Test Performance In Two Persistent Bovine Viral Infections, Kimberly Orr
Estimation Of The Effect Of Misclassifications On Diagnostic Test Performance In Two Persistent Bovine Viral Infections, Kimberly Orr
LSU Doctoral Dissertations
Validation of diagnostic assay performance is hampered where no gold standard exists. Bayesian estimates of the sensitivity and specificity were applied to studies of two persistent bovine infections: bovine immunodeficiency virus (BIV), and bovine viral diarrhea virus (BVDV). BVDV pathogenesis is well described. Losses of $20 million in 1992 alone led the Danish government to mandate eradication. Two enzyme-linked immunosorbent assay (ELISA) tests were developed; one antibody-based to detect exposure, one antigen-based to detect persistent infection. Bayesian estimates of the sensitivity and specificity were 96.6% and 99.2%, and 98.2% and 99.8% for the antibody and antigen ELISA, respectively. Maximum Likelihood …