从流行率来估计年龄特定发病率的最大概率估计
Sabrina Voß1, Annika Hoyer2, Ralph Brinks1,3
1Chair for Medical Biometry and Epidemiology, Faculty of Health/School of Medicine, Witten/Herdecke University, Witten, Germany.
PloS one
|May 14, 2025
概括
现在可以使用汇总的流行率和死亡率数据来估计慢性病发病率. 这种新的最大概率方法提供了准确的置信区间,取代了昂贵的纵向研究.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 纵向研究是估计年龄特定慢性疾病发病率的标准,但成本昂贵,容易导致参与者退出.
- 现有的从汇总数据中估计发病率的方法缺乏可靠的准确性评估,通常依赖于不太可靠的引导重新抽样技术.
研究的目的:
- 开发和验证使用聚合数据估计慢性疾病发病率及其置信区间的新方法.
- 引入以最大概率为基础的方法,作为重新采样方法的更准确替代方法.
主要方法:
- 利用疾病死亡模型和相关的部分微分方程,将发病率,流行率和死亡率联系起来.
- 开发了最大概率估计技术,结合二项概率函数来估计发病率.
- 将该方法应用于英国煤矿工人呼吸困难和德国糖尿病的历史数据,考虑非差异性和差异性死亡率的情景.
主要成果:
- 通过综合数据证明了估计慢性疾病的发病率和置信区间的可行性.
- 在涉及非差异性和差异性死亡率的场景中展示了适用性,包括特定的数据配置 (例如,患病与全因死亡率).
- 最大概率方法被证明是有效的,并可能取代传统的重新采样技术来估计发病率.
结论:
- 最大概率估计提供了一种可行且准确的方法,用于从汇总的流行率和死亡率数据中确定慢性疾病发病率.
- 这种方法为纵向研究和引导重新抽样提供了具有成本效益和可靠的替代方案,增强了流行病学研究能力.
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