PREDICTIVE VALUE OF TESTS
\pɹɪdˈɪktɪv vˈaljuː ɒv tˈɛsts], \pɹɪdˈɪktɪv vˈaljuː ɒv tˈɛsts], \p_ɹ_ɪ_d_ˈɪ_k_t_ɪ_v v_ˈa_l_j_uː ɒ_v t_ˈɛ_s_t_s]\
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In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
By DataStellar Co., Ltd
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