食品采样的样本量确定。
Sample Size Determination for Food Sampling.
机构信息
Office of Analytics and Outreach, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD 20740, United States.
Office of Analytics and Outreach, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD 20740, United States.
出版信息
J Food Prot. 2023 Sep;86(9):100134. doi: 10.1016/j.jfp.2023.100134. Epub 2023 Jul 28.
Industry and public health agencies sample and test food products for various purposes related to food safety and quality. Methods of sample selection and sample size determination are important in designing an optimal sampling plan. The appropriate sample size of a sampling plan depends on the objective. We examine the methods of sample size calculation for the following four objectives commonly associated with food sampling: (1) estimate prevalence (e.g., of contaminated products), (2) detect presence (e.g., of contaminated products), (3) estimate maximum prevalence, and (4) compare estimated prevalence with a specified value (e.g., a previous estimate or a threshold value). We illustrate these methods using examples and provide a web-based application (https://simple-sample.galaxytrakr.org/) written in R, using the shiny package, to help users with the application of each method.
工业界和公共卫生机构出于与食品安全和质量相关的各种目的对食品进行抽样和检测。抽样方法和样本量的确定在设计最优抽样计划中非常重要。抽样计划的适当样本量取决于目标。我们研究了以下四个与食品抽样常见目标相关的样本量计算方法：（1）估计流行率（例如，污染产品的流行率），（2）检测存在情况（例如，污染产品的存在情况），（3）估计最大流行率，以及（4）将估计的流行率与指定值（例如，先前的估计值或阈值）进行比较。我们使用示例说明了这些方法，并提供了一个基于网络的应用程序（https://simple-sample.galaxytrakr.org/），该应用程序使用 R 编写，使用 shiny 包，以帮助用户应用每种方法。
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