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Prevalence, sensitivities, specificities and positive and negative predictive values of Leptocheck-WB and IgM-ELISA using the MAT as gold standard and Bayesian latent class models.

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Figshare2015-12-03 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Prevalence_sensitivities_specificities_and_positive_and_negative_predictive_values_of_Leptocheck_WB_and_IgM_ELISA_using_the_MAT_as_gold_standard_and_Bayesian_latent_class_models_/1453666
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*Gold standard model assumed that MAT is perfect (100% sensitivity and 100% specificity; all patients with gold standard test positive are diseased and all patients with gold standard test negative are non-diseased). MAT titer ≥ 400 was considered to be positive. Values shown are estimated means with 95% confidence interval.+Bayesian latent class model assumed that all tests evaluated are imperfect. Values shown are estimated median with 95% credible interval.Prevalence, sensitivities, specificities and positive and negative predictive values of Leptocheck-WB and IgM-ELISA using the MAT as gold standard and Bayesian latent class models.
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2015-12-03
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