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应用多重依赖状态采样策略,以研究青少年晚期自杀率

Nagasaritha Kolli¹, Kanaparthi Rosaiah², Gadde Srinivasa Rao³

¹Department of Community Medicine, NRI Medical College and Research Institute, Mangalagiri, Guntur, India.

BMC medical research methodology

|August 23, 2023

概括

这项研究引入了一个新的采用新罗马克斯雷利分布进行质量控制的接受采样计划. 它通过考虑历史数据来加强批次接受决策,提高统计分析的可靠性.

科学领域:

统计统计统计统计
质量控制质量控制质量控制
可靠性工程可靠性工程

背景情况:

传统的验收抽样计划可能无法充分利用历史数据来做出批次验收决定.
新的洛马克斯雷利分布 (NLRD) 提供了一个灵活的模型来进行终身数据分析.
医疗保健和质量控制设置需要强大的方法来评估批量质量.

研究的目的:

为变量数据制定和评估多个依赖国家的抽样计划 (MDSSP).
在MDSSP框架内利用新罗马克斯雷利分布 (NLRD).
通过将其与现有的单阶段采样计划进行比较,评估拟议的MDSSP的性能.

主要方法:

基于连续变量的NLRD设计一个MDSSP.
采用基于二项式模型的操作特征 (OC) 曲线来确定接受/拒绝标准.
使用时间缩短寿命测试和NLRD的指定的中位数.
分析全球自杀率的现实数据以说明方法.

主要成果:

该研究提供了表格,详细说明了各种NLRD参数的接受概率,平均抽样数 (ASN) 和风险.
拟议的MDSSP展示了一种方法来确定质量评估的最低样本大小.
与单阶段采样计划的比较凸显了MDSSP在特定场景中的优势.

结论:

开发的MDSSP为批次验收决策提供了一种有效的方法,特别是在NLRD之后的寿命时.
该方法提供了一个框架,用于将历史批量质量信息整合到当前决策中.
对自杀率数据的应用说明了该计划在分析现实世界公共卫生数据方面的实用性.

关键词:

平均样本数量平均样本数量医疗保健质量指标医疗保健质量指标多个依赖国家的抽样计划.新的洛马克斯雷利分销公司在医院的质量差距分析.晚期青少年的自杀率.

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