使用值考克斯模型来估计暴露-反应关系的变化点在可呼吸晶体二氧化和病风险的职业流行病学研究中
Diezhang Wu1, Kenneth A Mundt1, Jing Qian1
1Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States.
Frontiers in public health
|October 6, 2025
概括
一个新的值考克斯模型确定了可呼吸晶体二氧化 (RCS) 的最佳暴露极限,以预防病. 该方法有助于量化风险评估和验证职业暴露限值.
科学领域:
- 职业流行病学 职业流行病学
- 生物统计学 生物统计学
- 环境健康 环境健康
背景情况:
- 在职业流行病学中,准确量化暴露-反应关系至关重要.
- 病风险与可呼吸晶体二氧化 (RCS) 暴露有关.
- 现有的方法在确定精确的暴露值方面可能存在局限性.
研究的目的:
- 引入和验证一种新的值Cox模型,用于确定最佳暴露值.
- 应用该模型来量化与化风险相关的RCS暴露值.
- 为量化风险评估和验证职业暴露限值提供一个工具.
主要方法:
- 开发了一个值考克斯模型,包含一个变化点术语,用于最佳值识别.
- 雇佣了Firth的惩罚性概率方法,以减轻最大概率估计中的偏差.
- 通过模拟研究验证了该方法,通过不同的审查率和样本大小来评估性能.
- 将该模型应用于RCS暴露和病的职业流行病学研究,使用密度样本的非病例.
主要成果:
- 已确定累计RCS暴露 (4.038 mg/m3年) 和2年和5年的平均RCS暴露强度 (0.264 mg/m3和0.324 mg/m3分别) 的值.
- 该模型在模拟研究中表现出强大的性能.
结论:
- 对RCS的量化暴露值可以告知职业暴露限值的保护能力.
- 开发的值考克斯模型为在职业健康方面的定量风险评估提供了有价值的工具.
- 该方法可用于识别和量化其他暴露与疾病关系中的暴露值.
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