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机构地区:[1]第二军医大学基础部数理教研室,上海200433 [2]基础部病原生物学教研室,上海200433
出 处:《第二军医大学学报》2007年第5期465-469,共5页Academic Journal of Second Military Medical University
基 金:"十五"国家科技攻关课题(2004BA718813).~~
摘 要:目的:给出基于混合样本的最小检测次数法和序贯检验法,以检验子孢子阳性率是否超过导致疟疾流行的临界水平。方法:在控制两类错误概率的前提下,推导两种方法的期望检测次数和检验功效的数学表达式。对最大期望检测次数进行数学优化,求解最优混合样本的大小,并通过计算机模拟对有关结果进行验证。结果:给出了最小检测次数法和序贯检验法的最优混合样本计算方法、MATLAB程序和具体操作步骤。前者可用于日常监测,后者可用于早期预警。结论:利用本文给出的最优混合样本和检测步骤,在获得比较满意的检验功效(两类错误概率均低干5%)的同时,可以有效降低检测次数。Objective:To provide a minimum sample size approach and a sequential sampling approach for testing whether the sporozoite rate has exceeded the critical level of malaria epidemics using the pool sampling method. Methods: Formulas of the expected pooled sample size and the power of tests were deduced while controlling the probability of type Ⅰ and type Ⅱ errors. The optimal pool sizes of the 2 approaches were given by minimizing the expected pooled sample size; computer simulation was used to verify the outcomes. Results: The optimal pool size, programming of MATLAB,and the steps of trials of the 2 approaches were given. The minimum sample size approach could be used for routine surveillance and sequential sampling approach could be used for early warning. Conclusion: The optimal pool size in the present study can obtain satisfactory testing power (type Ⅰ and type Ⅱerrors are both lower than 5%) and can effectively decrease the pooled sample size.
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