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模拟流行病学个体的模型

Christopher J Phillips1

  • 1Carnegie Mellon University, USA.

History of the human sciences
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PubMed
概括
此摘要是机器生成的。

流行病学现在使用人口健康数据来为个人患者提供护理,这是一个由弗雷明汉心脏研究举例说明的转变. 这种转变是由来自不同领域的统计创新推动的.

关键词:
弗雷明汉姆的情况是这样的:杰罗姆·康恩菲尔德 (Jerome Cornfield) 是一个美国人.流行病学流行病学危险的风险 危险的风险统计 统计 统计 统计 统计

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科学领域:

  • 流行病学 流行病学
  • 生物统计学 生物统计学
  • 医学史 医学史 医学史

背景情况:

  • 现代流行病学经常将个人和人口健康数据合并在一起.
  • 人口层面的健康结果越来越多地为个人预防,诊断和治疗决策提供信息.
  • 弗雷明汉心脏研究是这种方法进化的关键案例.

研究的目的:

  • 在流行病学中追踪个人和人口数据之间的疏忽的起源.
  • 从基于社区的研究中检查个人风险预测工具的发展.
  • 了解非传统统计方法对流行病学实践的影响.

主要方法:

  • 对弗雷明翰心脏研究的方法演变的历史分析.
  • 检查从经济学,社会学和人口统计学中统计技术的整合到流行病学.
  • 从20世纪40年代到70年代,流行病学复杂性和依赖统计方法的转变的分析.

主要成果:

  • 弗雷明汉心脏研究从以社区为基础的研究转变为个人疾病风险预测的来源.
  • 新的风险计算器出现了,弥合了人口数据和个体患者护理.
  • 在20世纪70年代,流行病学和生物统计学在统计学上变得更加复杂.

结论:

  • 整合人口健康数据用于个人患者护理,在流行病学历史上有着深厚的根源.
  • 流行病学的方法论进步受到非医学人文科学统计学家的重大影响.
  • 该领域的统计学复杂性增加反映了20世纪70年代跨学科影响的更广泛趋势.