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在没有金标准的情况下,用于估计两个条件独立检验准确性的样本量确定。

Sample size determination for estimation of the accuracy of two conditionally independent tests in the absence of a gold standard.

作者信息

Georgiadis Marios P, Johnson Wesley O, Gardner Ian A

机构信息

Department of Animal Production, Ichthyology, Ecology and Environmental Protection, School of Veterinary Medicine, Aristotle University of Thessaloniki, GR 54124 Thessaloniki, Greece.

出版信息

Prev Vet Med. 2005 Sep 30;71(1-2):1-10. doi: 10.1016/j.prevetmed.2005.04.004.

DOI:10.1016/j.prevetmed.2005.04.004
PMID:16076507
Abstract

We developed an Excel spreadsheet template (available at http://www.epi.ucdavis.edu/diagnostictests/) to calculate sample sizes to estimate sensitivity and specificity with desired precision in the absence of a gold standard. Calculations are predicated on the use of two conditionally independent tests for screening animals from two populations and are based on the methods of Hui and Walter(1980). Sample size calculations rely on asymptotic normality of maximum likelihood (ML) estimates of parameters. Spreadsheets for calculating standard errors for the parameter estimates and for providing ML estimates using cross-tabulated data also are included. An example of application of the methods to bovine paratuberculosis is presented.

摘要

我们开发了一个Excel电子表格模板(可在http://www.epi.ucdavis.edu/diagnostictests/获取),用于在没有金标准的情况下计算样本量,以期望的精度估计敏感性和特异性。计算基于对来自两个群体的动物进行两次条件独立检测的方法,并且基于Hui和Walter(1980年)的方法。样本量计算依赖于参数最大似然(ML)估计的渐近正态性。还包括用于计算参数估计标准误差以及使用交叉列表数据提供ML估计的电子表格。文中给出了该方法在牛副结核病中的应用示例。

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