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汇集的流行计算器 - 演示分析

背景

For these demonstration analyses (except where otherwise stated), a hypothetical pooled testing strategy for the estimation of prevalence of Hendra virus in fruit bats was used. The data was based on real data for Hendra virus testing in the little red flying fox (Pteropus scapulatus) in Queensland during the period 1996 - 1999 (H. Field, pers com). During this period, 162 samples were tested from little red flying foxes, with 22 samples positive, for an estimated prevalence of 13.6% (95% CI: 8.7 - 19.8%). For these analyses, pool sizes and numbers of pools were calculated to provide 95% confidence of estimating a true prevalence of 14% with a desired precision of ± 5.5% for the various estimation methods, corresponding to the estimated prevalence and confidence interval for the original (unpooled) data. The most frequent result from simulation studies was then used to estimate the prevalence and confidence interval for each scenario.

内容


内容
1 固定泳池大小和完美测试
2 固定池大小和具有已知靈敏度和特異性的測試
3 固定池大小和具有不確定靈敏度和特異性的測試
4 可变池大小和完美测试
5 使用Gibbs采样器汇集流行率
6 使用Gibbs采样器进行一次测试(未计算),估计真实患病率
7 使用Gibbs采样器进行两次测试(未计算),估计真实患病率
8 固定池大小和完美测试的样本大小计算
9 固定池大小的样本大小计算和具有已知灵敏度和特异性的测试
10 固定池大小的样本大小计算和具有不确定灵敏度和特异性的测试
11 模拟固定池大小的采样并假设完美测试
12 模拟固定池大小的采样并以已知的灵敏度和特异性进行测试
13 模拟固定池大小的采样并以不确定的灵敏度和特异性进行测试
14 模拟可变池大小的采样并假设完美测试
15 使用已知靈敏度和固定池大小的測試進行混合測試來證明自由
16 估計先前Beta分佈的alpha和beta參數
17 估計指定的alpha和beta參數的Beta概率分佈