DEPENDENCE BETWEEN THREE DIAGNOSTIC TESTS IN PRESENCE OF VERIFICATION BIAS: A COPULA FUNCTION APPROACH
作者： Jorge Alberto Achcar , Tovar Cuevas
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摘要: The study of the dependence betweenn outcomes two medical diagnostic tests is important since that decision about what therapeutic treatment suitable for diseased individuals, depends test results. In this paper, we introduce a Bayesian approach to efiect three copula structures model on prevalence and performance parameters, using data obtained within design with veriflcation bias tests, them dependent other one independent. We simulated models each levels: weak, moderate strong inside scenaries: sensibilities relatively high speciflcities low speciflcities.
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