Conditional dependence between tests affects the diagnosis and surveillance of animal diseases
Conditional dependence between tests affects the diagnosis and surveillance of animal diseases
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DOI：
10.1016/s0167-5877(00)00119-7
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发表时间：
2000-05-30
影响因子：
2.6
通讯作者：
Collins, MT
中科院分区：
文献类型：
--
作者：
Gardner, IA;Stryhn, H;Collins, MT
当组合使用时，成对测试的灵敏度或特异性之间的依赖性影响测试的灵敏度和特异性。如果测试是条件独立的，与预期值相比，测试灵敏度的正相关性降低了平行测试解释的灵敏度，测试特异性的正相关性降低了串行解释的特异性。我们计算条件协方差作为二进制测试之间的依赖性的措施，并显示其与Kappa（测试协议的机会校正措施）的关系。我们使用已发表的猪弓形虫病和布鲁氏菌病以及牛约翰氏病的数据来说明计算方法，并表明用于诊断和监测动物疾病的血清学试验之间的依赖性可能有多大。(C)2000 Elsevier Science B.V.保留所有权利。
Dependence between the sensitivities or specificities of pairs of tests affects the sensitivity and specificity of tests when used in combination. Compared with values expected if tests are conditionally independent, a positive dependence in test sensitivity reduces the sensitivity of parallel test interpretation and a positive dependence in test specificity reduces the specificity of serial interpretation. We calculate conditional covariances as a measure of dependence between binary tests and show their relationship to kappa (a chance-corrected measure of test agreement). We use published data for toxoplasmosis and brucellosis in swine, and Johne's disease in cattle to illustrate calculation methods and to indicate the likely magnitude of the dependence between serologic tests used for diagnosis and surveillance of animal diseases. (C) 2000 Elsevier Science B.V. All rights reserved.