使用人口稳定指数评估大量医疗数据的代表性
Sheng-Chieh Lu1,2, Wenye Song3, Andre Pfob4,5
1Department of Symptom Research, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd, Houston, TX, 77030, USA. slu4@mdanderson.org.
BMC medical research methodology
|February 21, 2025
概括
人口稳定指数 (PSI) 能够有效地检测聚合健康数据中的样本差异,为流行病学研究提供可靠的方法. 这种方法提高了对研究结果对一般人群的代表性的信心.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 样本的代表性对于流行病学研究的有效性至关重要.
- 传统方法需要原始数据,通常无法用于大型或聚合的数据集.
- 人口稳定指数 (PSI) 是用于评估人工智能数据漂移的指标.
研究的目的:
- 评估PSI在检测样本差异方面的能力,使用聚合的,基于人口的癌症数据.
- 为了比较PSI的表现与传统的统计测试,如千平方和克拉梅尔的V.
主要方法:
- 利用来自SEER数据库的美国癌症统计数据 (2000年,2015-2020年).
- 计算了PSI得分,以评估年龄,性别和癌症部位的年度数据分布变化.
- 将PSI结果与千平方和克拉梅尔V测试进行比较.
主要成果:
- PSI得分有显著的变化,表明2000年和以后几年之间癌症人口特征的中度到实质性差异.
- 奇平方测试尽管显著,但由于样本大小,显示了I型错误的潜力.
- PSI在识别转变方面表现出有效性,即使其他指标检测到的效果大小很小.
结论:
- 公共卫生数据分析 (PSI) 是一种可行的工具,用于评估用聚合或大型数据集进行的医疗保健研究中的样本差异.
- PSI可以提高人们对流行病学发现的代表性信心.
- 纳入PSI提高了对更广泛人群应用的研究可靠性.
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