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[监测项目中用于估计患病率的诊断试验的影响]

[Influence of diagnostic tests for estimating prevalence during surveillance programs].

作者信息

Fuchs K, Deutz A, Köfer J, Wagner P

机构信息

Institut für Angewandte Statistik und Systemanalyse, Joanneum Research Forschungsgesellschaft mbH in Graz.

出版信息

Berl Munch Tierarztl Wochenschr. 2000 Sep;113(9):348-51.

PMID:11042948
Abstract

The influence of diagnostic tests on the estimation of the prevalence and the calculation of sample sizes with respect to different sampling schemes are presented in this paper. These sampling schemes are used for the implementation of surveillance programs. Assuming "perfect tests" (i.e. sensitivity = specificity = 100%) the calculated sample sizes, e.g. for an IBR/IPV-surveillance or a paratuberculosis survey, are half of the sample sizes considering sensitivity and specificity of the diagnostic tests. However the probability not to identify infected livestocks may be 4 times higher neglecting the test characteristics and assuming perfect tests.

摘要

本文介绍了诊断检测对不同抽样方案下患病率估计和样本量计算的影响。这些抽样方案用于实施监测计划。假设“完美检测”(即灵敏度 = 特异度 = 100%),例如对于IBR/IPV监测或副结核病调查,计算出的样本量是考虑诊断检测灵敏度和特异度时样本量的一半。然而,忽略检测特征并假设为完美检测时,未识别出感染牲畜的概率可能会高出4倍。

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